.e FAQ
.c faq
.t Some notes on text editors for Stata users
.a N. J. Cox, et al.
.k data-sets set-s manage-ment edit-ing edit-ors win-dows unix mac-intosh
.k doedit do-files file-s .do ado-files .ado .log log-s text ascii alpha-tk
.k xemacs emacs vi-m editplus textpad pfe ess bbedit pico notetab jedit notepad
.k emeditor slickedit ultraedit context textwrangler subethaedit winedt
.x
	6/04	@browser:http://fmwww.bc.edu/repec/bocode/t/textEditors.html!http://fmwww.bc.edu/repec/bocode/t/textEditors.html@

.e FAQ
.c faq
.t Submitting and retrieving materials from the SSC Archive
.a C. F. Baum
.k submi-tting submi-ssions find findit user-s writ-ten zip
.k file-s package-s .pkg pkg ssc-ideas ideas archive-s repec archutil
.k zip archlist archtype archcopy archdesc archinst
.k statalist stata list-servers server-s author-s help
.k net util-ity describ-e instal-lation get download-ing type copy
.k what-snew what-'s uninstall ado-files .ado add-itions
.k web-sites site-s www internet
.x
	3/04	@browser:http://www.repec.org/bocode/s/sscsubmit.html!http://www.repec.org/bocode/s/sscsubmit.html/@

.e FAQ
.c faq
.t What statistical analysis should I use?
.a UCLA Academic Technology Services
.k ucla stat-istics t-test test-s test-ing samp-les samp-ling med-ians mean-s
.k wilcox-on binom-ial chi-squared sq-uared chi-2 2 two indep-endent
.k goodness fit csgof mann-whitney whitney depend-ent nonpar-ametric
.k non param-etric rank-sums rank-s tab-ulate tab-ulations fisher-s exact
.k one-way way anova anal-ysis variance-s signrank signtest sign-edranks
.k sign-ed sum-s kruskal-wallis wallis kwallis pair-s pair-ed repeat-ing
.k repeat-ed meas-ures factori-al var-iables cat-egorical reg-ressions
.k logis-tic logit xi corr-elate corr-elations linear simple mult-iple
.k discrim-inant daoneway multiv-ariate manova mvreg mvtest canon-ical
.k cantest cancor factor-s rotate greigen ordinal mcnemar-s
.k friedman odds ratio-s spearman-s bitest equal-ity
.k cov-ariances group-s latent scree-plot eigen-values
.k interv-als propor-tions dicho-tomous continu-ous obs-ervations xpose
.k out-comes pred-ictor func-tions
.x
	5/08	@browser:http://www.ats.ucla.edu/stat/stata/whatstat/whatstat.htm!http://www.ats.ucla.edu/stat/stata/whatstat/whatstat.htm@

.e FAQ
.c faq
.t How can I read Excel files in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics read excel file-s import-ing
.x
        8/11   @browser:http://www.ats.ucla.edu/stat/stata/faq/read_excel.htm!http://www.ats.ucla.edu/stat/stata/faq/read_excel.htm@

.e FAQ
.c faq
.t How can I understand a three-way interaction in @anova@?
.a UCLA Academic Technology Services
.k ucla stat-istics three-way way 3-way interact-ions anova
.k contrast-s margin-s pwcompare
.k two-way level-s var-iables graph-s graph-ing graph-ics
.k test-s test-ing
.x
        8/11   @browser:http://www.ats.ucla.edu/stat/stata/faq/threeway12.htm!http://www.ats.ucla.edu/stat/stata/faq/threeway12.htm@

.e FAQ
.c faq
.t How can I generate fungible regression weights?
.a UCLA Academic Technology Services
.k ucla stat-istics gen-erate regfungible reg-ressions weight-ing weight-s
.k least ordinary sq-uares fungible
.x
	12/10	@http://www.ats.ucla.edu/stat/stata/faq/fungible/fungible2.htm!http://www.ats.ucla.edu/stat/stata/faq/fungible/fungible2.htm@

.e FAQ
.c faq
.t How can I analyze a nested model using @xtmixed@?
.a UCLA Academic Technology Services
.k ucla stat-istics xtmixed anova nest-ed nest-ing model-s
.x
	11/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/nested.htm!http://www.ats.ucla.edu/stat/stata/faq/nested.htm@

.e FAQ
.c faq
.t Why don't my anova and regression results agree?
.a UCLA Academic Technology Services
.k ucla stat-istics xtmixed anova nest-ed nest-ing model-s
.x
	11/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/anova_regression.htm!http://www.ats.ucla.edu/stat/stata/faq/anova_regression.htm@

.e FAQ
.c faq
.t How can I estimate probabilities with @xtmelogit@?
.a UCLA Academic Technology Services
.k ucla stat-istics xtmelogit est-imation est-imates prob-ability logit predict
.k margin-s
.x
	10/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/xtmelogit_prob.htm!http://www.ats.ucla.edu/stat/stata/faq/xtmelogit_prob.htm@

.e FAQ
.c faq
.t How can I use @margins@ to understand a 3-way interaction?
.a UCLA Academic Technology Services
.k ucla stat-istics margin-s marginal effect-s
.k continu-ous interact-ions cat-egorical three-way way 3-way
.k slope-s
.x
	6/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/catcatcon.htm!http://www.ats.ucla.edu/stat/stata/faq/catcatcon.htm@

.e FAQ
.c faq
.t How can I perform mediation with binary variables?
.a UCLA Academic Technology Services
.k ucla stat-istics mediator mediation var-iables bina-ry indep-endent
.k depend-ent reg-ressions logit probit
.x
	5/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/binary_mediation.htm!http://www.ats.ucla.edu/stat/stata/faq/binary_mediation.htm@

.e FAQ
.c faq
.t How can I create dyad IDs?
.a UCLA Academic Technology Services
.k ucla creat-e creat-ed dyad group-s identifier-s id-s
.k data-sets set-s manage-ment egen code-s book-s codebook
.x
	4/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/dyad_ids.htm!http://www.ats.ucla.edu/stat/stata/faq/dyad_ids.htm@

.e FAQ
.c faq
.t More of how to use @margins@ to understand multiple interactions in reg.
.a UCLA Academic Technology Services
.k ucla stat-istics margin-s marginal effect-s mult-iple interact-ions
.k reg-ressions mult-iple continu-ous anova
.x
	3/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/margins_interaction2.htm!http://www.ats.ucla.edu/stat/stata/faq/@
		@browser:http://www.ats.ucla.edu/stat/stata/faq/margins_interaction2.htm!margins_interaction2.htm@

.e FAQ
.c faq
.t How can I do mediation analysis with a categorical IV in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics mediation anal-ysis cat-egorical iv var-iables mediator
.k indep-endent depend-ent reg-ressions coef-ficients sureg nlcom lincom
.x
	3/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/mediation_cativ.htm!http://www.ats.ucla.edu/stat/stata/faq/mediation_cativ.htm@

.e FAQ
.c faq
.t How can I do factor analysis with missing data in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics factor-s anal-ysis miss-ing data-sets set-s mult-iple
.k imput-e imput-ing imput-ation max-imum like-lihood em algor-ithms matr-ix
.k cov-ariances mi factor-mat
.x
	2/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/factor_missing.htm!http://www.ats.ucla.edu/stat/stata/faq/factor_missing.htm@

.e FAQ
.c faq
.t How can I do simple main effects using ^anovalator^?
.a UCLA Academic Technology Services
.k ucla stat-istics anovalator command-s main effect-s factor-s two 2 model-s
.k three 3 anova reg-ressions xtmixed est-imation smecriticalvalue
.x
	2/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/anovalator_simple.htm!http://www.ats.ucla.edu/stat/stata/faq/anovalator_simple.htm@

.e FAQ
.c faq
.t How do I use the ^anovalator^ command?
.a UCLA Academic Technology Services
.k ucla stat-istics anovalator command-s anova est-imation main effect-s
.k freedom degree-s test-s pair-wise compar-isons linear contrast-s margin-s
.k two-way way three-way 3-way 2-way interact-ions
.x
	2/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/anovalator.htm!http://www.ats.ucla.edu/stat/stata/faq/anovalator.htm@

.e FAQ
.c faq
.t How to get anova main-effects with dummy coding using @margin@?
.a UCLA Academic Technology Services
.k ucla stat-istics anova dum-my dum-mies code-s coding main effect-s
.k reg-ressions model-s var-iables factor-s margin-s marginal
.x
	2/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/margins_main_effects.htm!http://www.ats.ucla.edu/stat/stata/faq/margins_main_effects.htm@

.e FAQ
.c faq
.t How do I document and search a Stata dataset?
.a UCLA Academic Technology Services
.k ucla docu-mentation search data-sets set-s manage-ment label-s
.k var-iables command-s value-s def-ine note-s ckvar ckvaredit valid-ation
.k look-for for labelbook
.x
	1/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/searching.htm!http://www.ats.ucla.edu/stat/stata/faq/searching.htm@

.e FAQ
.c faq
.t Why doesn't the @margins@ command work with a nested factor in anova?
.a UCLA Academic Technology Services
.k ucla stat-istics margin-s marginal effect-s nest-ed factor-s anova
.k repeat-ed error term-s model-s between interact-ions within empty cell-s
.k emptycells xtmixed
.x
	1/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/margins_nested1.htm!http://www.ats.ucla.edu/stat/stata/faq/margins_nested1.htm@

.e FAQ
.c faq
.t How can I do anova contrasts using the @margins@ command?
.a UCLA Academic Technology Services
.k ucla stat-istics anova margin-s marginal effect-s contrast-s
.k anal-ysis lincom test-s chi-squared sq-uared chi-2 2 z
.k adjust-ed mean-s
.x
	1/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/margins_comparisons.htm!http://www.ats.ucla.edu/stat/stata/faq/margins_comparisons.htm@

.e FAQ
.c faq
.t How can I use @margins@ with a 3-way anova interaction?
.a UCLA Academic Technology Services
.k ucla stat-istics margin-s marginal effect-s
.k interact-ions 3-way three-way way anova model-s factor-s
.x
	1/10	@browser:http://www.ats.ucla.edu/stat/stata/faq/margins_3way.htm!http://www.ats.ucla.edu/stat/stata/faq/margins_3way.htm@

.e FAQ
.c faq
.t How can I get anova type results from @xtmixed@ using @margins@?
.a UCLA Academic Technology Services
.k ucla stat-istics anova result-s xtmixed margin-s marginal effect-s
.k test-s sing-le factor-s model-s degree-s freedom df est-imates
.x
	12/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/margins_mixed_anova.htm!http://www.ats.ucla.edu/stat/stata/faq/margins_mixed_anova.htm@

.e FAQ
.c faq
.t Use @margins@ to understand multiple interactions in logistic regression
.a UCLA Academic Technology Services
.k ucla stat-istics margin-s marginal effect-s mult-iple interact-ions
.k reg-ressions logis-tic model-s prob-ability
.x
	12/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/margins_mlogcatcon.htm!http://www.ats.ucla.edu/stat/stata/faq/margins_mlogcatcon.htm@

.e FAQ
.c faq
.t How to use multiply imputed data where original data is not included
.a UCLA Academic Technology Services
.k ucla mult-iple imput-e imput-ations imput-ing mult-iply mi-m
.k include-s import-ing creat-ing creat-ed indica-tor value-s
.k data-sets set-s manage-ment var-iables
.x
	12/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/no_m_eq_0.htm!http://www.ats.ucla.edu/stat/stata/faq/no_m_eq_0.htm@

.e FAQ
.c faq
.t How to use @margins@ to understand multiple interactions in reg. & anova
.a UCLA Academic Technology Services
.k ucla stat-istics margin-s marginal effect-s
.k mult-iple interact-ions reg-ressions
.k anova testparm est-imates est-imation model-s test-s test-ing
.x
	12/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/margins_interaction.htm!http://www.ats.ucla.edu/stat/stata/faq/margins_interaction.htm@

.e FAQ
.c faq
.t How can I graph the results of the @margins@ command?
.a UCLA Academic Technology Services
.k ucla stat-istics graph-s graph-ing graph-ics result-s
.k margin-s marginal effect-s model-s svmat
.x
	11/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/mar_graph/margins_graph.htm!http://www.ats.ucla.edu/stat/stata/faq/mar_graph/@
		@browser:http://www.ats.ucla.edu/stat/stata/faq/mar_graph/margins_graph.htm!margins_graph.htm@

.e FAQ
.c faq
.t How can I sort data within rows independently for each observation?
.a UCLA Academic Technology Services
.k ucla sort-ing data-sets set-s manage-ment order-ed indep-endent within each
.k obs-ervations reshape
.x
	10/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/sort_rows.htm!http://www.ats.ucla.edu/stat/stata/faq/sort_rows.htm@

.e FAQ
.c faq
.t How can I sample from a dataset with frequency weights?
.a UCLA Academic Technology Services
.k ucla stat-istics data-sets set-s manage-ment
.k weight-s freq-uency samp-les expand creat-ed
.k samp-ling obs-ervations rand-om gsample equal-ity prob-abilities simple
.k strat-ified clus-tered
.x
	10/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/gsample.htm!http://www.ats.ucla.edu/stat/stata/faq/gsample.htm@

.e FAQ
.c faq
.t Part 1: How can I understand a 3-way continuous interaction?
.a UCLA Academic Technology Services
.k ucla stat-istics continu-ous interact-ions 3-way three-way way reg-ressions
.k model-s term-s var-iables simple slope-s margin-s
.x
	9/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/con3way11.htm!http://www.ats.ucla.edu/stat/stata/faq/con3way11.htm@

.e FAQ
.c faq
.t Part 2: How can I understand a 3-way continuous interaction?
.a UCLA Academic Technology Services
.k ucla stat-istics continu-ous interact-ions 3-way three-way way reg-ressions
.k model-s term-s var-iables simple slope-s margin-s covariate-s
.x
	9/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/con3wayb11.htm!http://www.ats.ucla.edu/stat/stata/faq/con3wayb11.htm@

.e FAQ
.c faq
.t Categorical by categorical interaction in logistic regression
.a UCLA Academic Technology Services
.k ucla stat-istics cat-egorical logis-tic reg-ressions model-s covariate-s
.k logit interact-ions margin-s pred-ictor continu-ous
.x
	9/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/logit2by211.htm!http://www.ats.ucla.edu/stat/stata/faq/logit2by211.htm@

.e FAQ
.c faq
.t How can I understand a categorical by continuous interaction?
.a UCLA Academic Technology Services
.k ucla stat-istics continu-ous interact-ions cat-egorical slope-s var-iables
.k margin-s lincom reg-ressions parmest
.x
	9/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/catcon11.htm!http://www.ats.ucla.edu/stat/stata/faq/catcon11.htm@

.e FAQ
.c faq
.t How can I explain a continuous by continuous interaction?
.a UCLA Academic Technology Services
.k ucla stat-istics continu-ous interact-ions slope-s var-iables
.k response-s mult-iple reg-ressions model-s two-way margin-s
.x
	8/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/conconb11.htm!http://www.ats.ucla.edu/stat/stata/faq/conconb11.htm@

.e FAQ
.c faq
.t How can I get anova type III results using @xtmixed@?
.a UCLA Academic Technology Services
.k ucla stat-istics anova type-s 3 xtmixed result-s desmat factor-s
.k var-iables dum-my dum-mies indica-tor coding effect-s interact-ions main
.k helmert
.x
	8/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/xtanova.htm!http://www.ats.ucla.edu/stat/stata/faq/xtanova.htm@

.e FAQ
.c faq
.t How is 95% CI of the variance component in a mixed model calculated?
.a UCLA Academic Technology Services
.k ucla stat-istics conf-idence interv-als variance compon-ents mixed model-s
.k calcul-ate 95 percent-iles xtmixed
.x
	8/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/mixed_ci.htm!http://www.ats.ucla.edu/stat/stata/faq/mixed_ci.htm@

.e FAQ
.c faq
.t How can I generate automated filenames in Stata?
.a UCLA Academic Technology Services
.k ucla util-ity gen-erate automated file-s name-s data-sets set-s manage-ment
.k mult-iple creat-e
.x
	8/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/automated_filenames.htm!http://www.ats.ucla.edu/stat/stata/faq/automated_filenames.htm@

.e FAQ
.c faq
.t Categorical by continuous interaction in logistic regression
.a UCLA Academic Technology Services
.k ucla stat-istics cat-egorical logis-tic reg-ressions model-s covariate-s
.k continu-ous logit prvalue interact-ions model-s predictnl nonlin-ear
.k pred-ictions pred-icted est-imates est-imation err-ors stand-ard std
.k margin-s
.x
	8/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/logitcatcon11.htm!http://www.ats.ucla.edu/stat/stata/faq/logitcatcon11.htm@

.e FAQ
.c faq
.t How can I get anova simple main effects with the @margins@ command?
.a UCLA Academic Technology Services
.k ucla stat-istics anova simple main effect-s margin-s test-s
.x
	8/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/simple_main_effects11.htm!http://www.ats.ucla.edu/stat/stata/faq/@
		@browser:http://www.ats.ucla.edu/stat/stata/faq/simple_main_effects11.htm!simple_main_effects11.htm@

.e FAQ
.c faq
.t Identify cases used by an estimation command using ^e(sample)^
.a UCLA Academic Technology Services
.k ucla stat-istics est-imates est-imation
.k case-s anal-ysis reg-ressions model-s subset-s value-s
.k model-s result-s sav-ed sav-ing sample-s e e-class class e(sample)
.x
	8/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/e_sample.htm!http://www.ats.ucla.edu/stat/stata/faq/e_sample.htm@

.e FAQ
.c faq
.t How can I compute power for contingency tables in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics chi2power compute power conting-ency tabl-es like-lihood
.k chi-squared sq-uared chi-2 2 obs-erved noncen-tral distrib-utions
.k param-eters hyp-othesis hyp-otheses altern-atives samp-les size-s
.k est-imates est-imation
.x
	6/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/chi2power.htm!http://www.ats.ucla.edu/stat/stata/faq/chi2power.htm@

.e FAQ
.c faq
.t How can I graph chi-square power curves in Stata?
.a UCLA Academic Technology Services
.k ucla graph-s graph-ing graph-ics chi-squared sq-uared chi-2 2 power-s
.k curv-es gen-erate distrib-utions param-eters ncp noncen-tral nchi2
.x
	5/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/chi2_power.htm!http://www.ats.ucla.edu/stat/stata/faq/chi2_power.htm@

.e FAQ
.c faq
.t How can I reshape doubly (or triply) wide data to long?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k reshape wide long doubly triply mult-iple time
.k point-s factor-s reshape recode
.x
	5/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/doublewide.htm!http://www.ats.ucla.edu/stat/stata/faq/doublewide.htm@

.e FAQ
.c faq
.t Fit a random intercept or mixed effects model with hetero. errors
.a UCLA Academic Technology Services
.k ucla stat-istics fit-ting rand-om intercep-t mixed model-s effect-s error-s
.k hetero-skedasticity variable-s mean-s variance-s group-s growth curv-es
.x
	5/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/hetero_resid_var.htm!http://www.ats.ucla.edu/stat/stata/faq/hetero_resid_var.htm@

.e FAQ
.c faq
.t How can I access information stored after I run a command in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics info-rmation access store result-s return summ-arize
.k win-dows mem-ory r-class e-class ereturn list-s mean-s display-ing
.k sav-ed sav-ing scal-ars str-ings matr-ices func-tions coef-ficients
.k error-s stand-ard std
.x
	5/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/returned_results.htm!http://www.ats.ucla.edu/stat/stata/faq/returned_results.htm@

.e FAQ
.c faq
.t How can I convert a multilevel model to a mixed model?
.a UCLA Academic Technology Services
.k ucla stat-istics convert multi-level level-s model-s mixed est-imated
.k est-imates est-imation ml2mixed xtmixed two three rand-om intercep-ts
.k slope-s
.x
	5/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/ml2mixed.htm!http://www.ats.ucla.edu/stat/stata/faq/ml2mixed.htm@

.e FAQ
.c faq
.t How can I analyze multiple mediators in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics mediator mediation var-iables indep-endent depend-ent
.k mult-iple indirect effect-s sureg nlcom stand-ard std err-ors boot-strapped
.k bootmm
.x
	3/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/mulmediation.htm!http://www.ats.ucla.edu/stat/stata/faq/mulmediation.htm@

.e FAQ
.c faq
.t How can I do moderated mediation in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics mediator mediation var-iables indep-endent depend-ent
.k indirect effect-s boot-strapped stand-ard std err-ors interv-als conf-idence
.k sureg nlcom
.x
	3/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/modmed.htm!http://www.ats.ucla.edu/stat/stata/faq/modmed.htm@

.e FAQ
.c faq
.t How can I compute effect size in Stata for regression?
.a UCLA Academic Technology Services
.k ucla stat-istics effect-s size-s reg-ressions regeffectsize
.k anova effectsize eta-squared sq-uared eta-2
.x
	3/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/regeffectsize.htm!http://www.ats.ucla.edu/stat/stata/faq/regeffectsize.htm@

.e FAQ
.c faq
.t How can I get a Somers' D after logistic regression in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics somer-sd d logis-tic reg-ressions
.x
	3/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/somersdlogit.htm!http://www.ats.ucla.edu/stat/stata/faq/somersdlogit.htm@

.e FAQ
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.t How can I create all pairs within groups?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment creat-e pair-s group-s joinby
.x
	3/09	@browser:http://www.ats.ucla.edu/stat/stata/faq/allpairs_faq.htm!http://www.ats.ucla.edu/stat/stata/faq/allpairs_faq.htm@

.e FAQ
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.t How can I calculate Moran's I in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics calcul-ate calcul-ator moran-s i spatial anal-ysis
.k spatgsa autocor-relations corr-elations spatwmat matr-ix matr-ices
.x
	11/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/morans_i.htm!http://www.ats.ucla.edu/stat/stata/faq/morans_i.htm@

.e FAQ
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.t How can I get an R-squared with robust regression (@rreg@)?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k r-squared sq-uared r-2 2 robust reg-ressions adjust-ed rreg rmse
.k err-ors root-s mean rregfit fit-ting fit-ted
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/rregr2.htm!http://www.ats.ucla.edu/stat/stata/faq/rregr2.htm@

.e FAQ
.c faq
.t Turn a string variable containing dates into a date variable
.a UCLA Academic Technology Services
.k ucla stat-istics
.k convert convers-ions str-ings var-iables date-s num-erical num-bers digit-s
.k value-s year-ly day daily month-ly hour-s minute-s second-s format-s
.k format-ting format-ted
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/string_dates.htm!http://www.ats.ucla.edu/stat/stata/faq/string_dates.htm@

.e FAQ
.c faq
.t How to compute effect size in Stata after an ^anova^?
.a UCLA Academic Technology Services
.k ucla stat-istics compute effect-s size anal-ysis variance-s anova
.k effectsize omega-2
.x
	9/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/effectsize.htm!http://www.ats.ucla.edu/stat/stata/faq/effectsize.htm@

.e FAQ
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.t How to get anova simple main effects with dummy coding?
.a UCLA Academic Technology Services
.k ucla stat-istics anova anal-ysis of variance-s main effect-s dum-my
.k dum-mies code-s coding reg-ressions var-iables test-s test-ing
.x
	9/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/sme_dummy.htm!http://www.ats.ucla.edu/stat/stata/faq/sme_dummy.htm@

.e FAQ
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.t How can I do post-hoc pairwise comparisons using Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics post-hoc hoc pair-wise compar-isons level-s mult-iple
.k one-way way tukeyhsd test-s test-ing tukey fisher-s anova anal-ysis of
.k variance-s
.x
	8/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/pairwise.htm!http://www.ats.ucla.edu/stat/stata/faq/pairwise.htm@

.e FAQ
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.t How can I understand a three-way interaction in anova?
.a UCLA Academic Technology Services
.k ucla stat-istics three-way way 3-way interact-ions anova anal-ysis of
.k variance-s two-way level-s var-iables egen graph-s graph-ing graph-ics
.k testalterr test-s test-ing tukeyhsd
.x
	8/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/threeway0.htm!http://www.ats.ucla.edu/stat/stata/faq/threeway0.htm@

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.t How do I interpret odds ratios in logistic regression?
.a UCLA Academic Technology Services
.k ucla stat-istics odds ratio-s logit logis-tic reg-ressions
.k prob-ability prob-abilities fail-ure est-imates log-s base coef-ficients
.k succ-ess
.x
	8/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/oratio.htm!http://www.ats.ucla.edu/stat/stata/faq/oratio.htm@

.e FAQ
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.t How can I do post-hoc pairwise comparisons of adjusted means?
.a UCLA Academic Technology Services
.k ucla stat-istics post-hoc hoc pair-wise compar-isons adjust-ed mean-s
.k tkcomp anova variance-s anal-ysis tukeyhsd
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/pairwiseadj.htm!http://www.ats.ucla.edu/stat/stata/faq/pairwiseadj.htm@

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.t How can I determine the correct term in an anova using Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics correct-ion correct-ed term-s anova variance-s anal-ysis
.k of ctems cornfield tukey algor-ithms subsc-ripts fix-ed effect-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/ctems.htm!http://www.ats.ucla.edu/stat/stata/faq/ctems.htm@

.e FAQ
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.t How can I do classical ^anova^ designs using ^xtmixed^?
.a UCLA Academic Technology Services
.k ucla stat-istics anova anal-ysis of variance-s xt-mixed reml examp-les
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/xtmixed.htm!http://www.ats.ucla.edu/stat/stata/faq/xtmixed.htm@

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.t How to do parallel analysis for pca or factor analysis in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics paral-lel anal-ysis pca factor-s fautil corr-elations
.k matr-ix eigen-values fapara
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/parallel.htm!http://www.ats.ucla.edu/stat/stata/faq/parallel.htm@

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.t How can I graph two (or more) groups using different symbols?
.a UCLA Academic Technology Services
.k graph-s graph-ics graph-ing two-way way plot-s scat-terplots line-s
.k ucla mark-ers mark-s point-s symb-ols diff-erences mult-iple separ-ated
.k group-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/graph_sep.htm!http://www.ats.ucla.edu/stat/stata/faq/graph_sep.htm@

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.t How do I graph data with dates?
.a UCLA Academic Technology Services
.k ucla date-s graph-s graph-ics graph-ing time-series series tsset
.k var-iables tsline line-s period-s range data-sets set-s two-way way
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/grdate.htm!http://www.ats.ucla.edu/stat/stata/faq/grdate.htm@

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.t How can I view different marker symbol options?
.a UCLA Academic Technology Services
.k ucla
.k graph-s graph-ics graph-ing mark-s mark-ers show symb-ols opt-ions
.k size-s color-s scheme-s fill-ed text line-s legend-s key-s
.k thick-ness outline-s outlin-ing showmarker-s patt-erns view-s view-ers
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/showmark.htm!http://www.ats.ucla.edu/stat/stata/faq/showmark.htm@

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.t How do I save a Stata graph as an eps file?
.a UCLA Academic Technology Services
.k ucla plot-s graph-s graph-ing graph-ics encap-sulated ps eps
.k file-s format-s format-ting expor-ting sav-e sav-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/grapheps.htm!http://www.ats.ucla.edu/stat/stata/faq/grapheps.htm@

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.t How can I check for collinearity in survey regression?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k collinear-ity survey-s reg-ressions svy-: tol-erances estat vif check-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/svycollin.htm!http://www.ats.ucla.edu/stat/stata/faq/svycollin.htm@

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.t How to extract month & year components from a var. with %tm format?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k extrac-tion month-ly year-ly compon-ents var-iables %tm format-s
.k format-ted format-ting convert convers-ions func-tions date-s
.k num-eric num-bers
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/time_funcs_ym2mandy.htm!http://www.ats.ucla.edu/stat/stata/faq/time_funcs_ym2mandy.htm@

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.t How can I do a t-test with survey data?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k t-tests test-s survey-s data svy-: mean-s svymean lincom post-estimations
.k reg-ressions svyset
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/svyttest.htm!http://www.ats.ucla.edu/stat/stata/faq/svyttest.htm@

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.t How can I analyze a subpopulation of survey data in Stata 9 and 10?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k tab-ulate over svy-: : svyset mean-s pop-ulations survey-s anal-yze
.k data-sets set-s subpop-ulations
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_stata_subpop.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_stata_subpop.htm@

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.t Kappa statistic for variables with unequal range of scores
.a UCLA Academic Technology Services
.k ucla interrat-er agree-ment rat-ings
.k kap-pa stat-istics var-iables range scor-es scor-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/kappa.htm!http://www.ats.ucla.edu/stat/stata/faq/kappa.htm@

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.t How should I analyze percentile rank data?
.a UCLA Academic Technology Services
.k ucla stat-istics percent-iles rank-s
.k anal-ysis variance-s scor-e scor-ing z-scores
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/prank.htm!http://www.ats.ucla.edu/stat/stata/faq/prank.htm@

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.t How can I test for a trend across a categorical variable?
.a UCLA Academic Technology Services
.k ucla stat-istics nptrend anal-ysis variance-s anova
.k test-s test-ing trend nonpar-ametric non param-etric order-ed group-s
.k cat-egorical var-iables rank-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/test_trend.htm!http://www.ats.ucla.edu/stat/stata/faq/test_trend.htm@

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.t How do I write my own bootstrap program?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k boot-strapped boot-strapping prog-rams prog-ramming root-s mean
.k sq-uared err-ors rmse est-imates est-imation bootsamp bstat writ-e
.k matr-ix matr-ices bsample preserve simulate
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/ownboot.htm!http://www.ats.ucla.edu/stat/stata/faq/ownboot.htm@

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.c faq
.t Generating pred. counts from a ^zip^ or ^zinb^ model based on para. est.
.a UCLA Academic Technology Services
.k ucla stat-istics gen-erate pred-icted count-s zip zinb model-s param-eters
.k est-imates est-imation zero inflated neg-ative binom-ial poisson
.k reg-ressions logit inflated probit
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/predict_zip.htm!http://www.ats.ucla.edu/stat/stata/faq/predict_zip.htm@

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.t How can I test diff. in area under ROC curve for 2 logistic models?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k diff-erences area roc receiver-s operating character-istics curv-es
.k logis-tic model-s logit lroc linear roccomp under
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/roc.htm!http://www.ats.ucla.edu/stat/stata/faq/roc.htm@

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.t Est. relative risk using ^glm^ for common outcomes in cohort studies
.a UCLA Academic Technology Services
.k ucla glm stat-istics est-imation est-imates odd-s ratio-s relativ-e risk-s
.k bina-ry outcome-s compar-isons log-arithmic binom-ial
.k poisson robust err-ors variance-s continu-ous cat-egorical
.k covariate-s lindquist cohort reg-ressions xi-: : glm poisson logit
.k eform opt-ions logis-tic log-s
.x
	7/07	@browser:http://www.ats.ucla.edu/stat/stata/faq/relative_risk.htm!http://www.ats.ucla.edu/stat/stata/faq/relative_risk.htm@

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.t How can I do profile analysis in Stata?
.a UCLA Academic Technology Services
.k manova stat-istics anal-ysis variance-s est-imation depend-ent
.k est-imates var-iables manovatest paral-lel profile transfo-rmations
.k ucla
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/profile.htm!http://www.ats.ucla.edu/stat/stata/faq/profile.htm@

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.t How can I do multivariate repeated measures in Stata?
.a UCLA Academic Technology Services
.k ucla
.k manova stat-istics multiv-ariate anal-ysis variance-s anova est-imation
.k repeat-ed repeat-ing meas-ures est-imates var-iables manovatest
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/manovarep.htm!http://www.ats.ucla.edu/stat/stata/faq/manovarep.htm@

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.c faq
.t How can I plot anova cell means in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics graph-s graph-ics graph-ing err-or bar-s anova
.k anal-ysis variance-s cov-ariances anocova ancova mean-s cell-s cmeans
.k plot-s anovaplot
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/cmeans.htm!http://www.ats.ucla.edu/stat/stata/faq/cmeans.htm@

.e FAQ
.c faq
.t How can graph group means and standard deviations for ^anova^?
.a UCLA Academic Technology Services
.k ucla graph-s graph-ing graph-ics group-s mean-s stand-ard std dev-iations
.k sd anova mean-sdplot examp-les
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/meansdplot.htm!http://www.ats.ucla.edu/stat/stata/faq/graph/meansdplot.htm@

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.c faq
.t How can I do anova contrasts in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics anova anal-ysis variance-s contrast-s test-s test-ing
.k anova-contrast one-way two-way mean-s sq-uared sq-uares resid-uals
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/contrast.htm!http://www.ats.ucla.edu/stat/stata/faq/contrast.htm@

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.c faq
.t How can I test for nonadditivity in a randomized block anova in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics nonadd-itivity rand-omized block-s anova anal-ysis
.k variance-s tukey addi-tive test-s test-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/nonadd.htm!http://www.ats.ucla.edu/stat/stata/faq/nonadd.htm@

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.c faq
.t How can I check for homogeneity of variance in a factorial anova?
.a UCLA Academic Technology Services
.k ucla stat-istics anova anal-ysis variance-s factori-al design-s bartlett-s
.k test-s test-ing homog-eneity levene-s robvar one-way way
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/chkhom.htm!http://www.ats.ucla.edu/stat/stata/faq/chkhom.htm@

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.c faq
.t How can I do tests of simple main effects in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics anova anal-ysis variance-s sme dunn-s simple main effect-s
.k test-s test-ing interact-ions
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/sme.htm!http://www.ats.ucla.edu/stat/stata/faq/sme.htm@

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.c faq
.t ATS Stata plots
.a UCLA Academic Technology Services
.k ucla graph-s graph-ing graph-ics plot-s chidemo chi-squared sq-uared
.k chi-2 2 distrib-utions fdemo f hist-box hist-ograms box-plots mean-sdplot
.k stand-ard dev-iations std sd group-s nbvargr obs-erved var-iables poisson
.k neg-ative binom-ial prob-ability prob-abilities postgr3 post-estimation
.k est-imation est-imates pred-ictions pred-icted value-s profile-plot
.k ztail tdemo t zdemo-2 norm-al z-scores scor-es
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/graph/atsplot.htm!http://www.ats.ucla.edu/stat/stata/faq/graph/atsplot.htm@

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.t How can I make a bar graph with error bars?
.a UCLA Academic Technology Services
.k ucla graph-s graph-ics graph-ing err-ors bar-s chart-s over opt-ions
.k stand-ard dev-iations collapse two-way way rcap rbar label-s axis
.k axes legend-s legend_option by_option by
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/barcap.htm!http://www.ats.ucla.edu/stat/stata/faq/barcap.htm@

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.t How can I combine a histogram and a boxplot in Stata?
.a UCLA Academic Technology Services
.k ucla graph-s graph-ing graph-ics hist-ograms comb-ine join merge box-plots
.k plot-s histbox
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/histbox.htm!http://www.ats.ucla.edu/stat/stata/faq/graph/histbox.htm@

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.c faq
.t How can I do a profile plot in Stata?
.a UCLA Academic Technology Services
.k ucla graph-s graph-ing graph-ics profile plot-s profileplot level-s
.k var-iables group-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/profileplot.htm!http://www.ats.ucla.edu/stat/stata/faq/graph/profileplot.htm@

.e FAQ
.c faq
.t NJC Stata plots
.a UCLA Academic Technology Services
.k ucla graph-s graph-ing graph-ics plot-s ascii-plot character-istics set-s
.k font-s anovaplot anova cell-s mean-s beamplot horizont-ally dot-s dotplot
.k beam-s bin-s binsm smooth-ing scat-terplots summ-ary catplot cat-egorical
.k ciplot conf-idence interv-als corr-table corr-elations tab-les matr-ix
.k matr-ices cpyxplot two-way way diagsm diag-onals smooth-ing distplot
.k distrib-utions func-tions doublesm double-s dpplot dens-ity prob-ability
.k prob-abilities equal-ity hist-ograms eqprhistogram fractileplot pred-ictor
.k indexplot index kaplansky kurt-osis mlowess lowess mult-iple mrunning
.k running smooth-ers line-s ovfplot pairplot pair-s pair-ed obs-ervations
.k parplot parallel-ized coor-dinates pareto pdplot polarsm polar ppplot
.k qplot quantile-s rcspline restric-ted restric-tions cub-ic spline-s rdplot
.k regplot rhetplot sym-metric nearest neighbor-s rvfplot2 rvpplot2 skewplot
.k skew-ness stem-andleaf and-leaf and leaf strip tableplot tabplot examp-les
.k stemplot-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/graph/njcplot.htm!http://www.ats.ucla.edu/stat/stata/faq/graph/njcplot.htm@

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.t How do I use ^file read^ to read information in an external text file?
.a UCLA Academic Technology Services
.k ucla file-s read-ing extern-als text-s data-sets set-s
.k manage-ment open close
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/fileread.htm!http://www.ats.ucla.edu/stat/stata/faq/fileread.htm@

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.c faq
.t How do I generate a variogram for spatial data in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics gen-erate creat-ed variogram spatial data-sets set-s
.k variog-2 2 two graph-s graph-ing graph-ics space dimen-sional dim-ensions
.k one 1
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/variog2.htm!http://www.ats.ucla.edu/stat/stata/faq/variog2.htm@

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.c faq
.t How does xtreg-re differ from xtreg-fe?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k xt-reg fe re reg-ressions anal-ysis panel-s data-sets set-s anova
.k variance-s degree-s freedom test-s fix-ed effect-s within xi
.k between rand-om matr-ix weight-ed ave-rage
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/revsfe.htm!http://www.ats.ucla.edu/stat/stata/faq/revsfe.htm@

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.t What is seemingly unrelated reg. and how can I perform it in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k seemingly unrel-ated reg-ressions contempo-raneous cotemp-oraneous
.k cross eq-uations err-ors corr-elate corr-elations sur-e sureg
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/sureg.htm!http://www.ats.ucla.edu/stat/stata/faq/sureg.htm@

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.t How can I analyze count data in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k anal-ysis count-s data-sets hist-ograms poisson
.k distrib-utions disper-sion over-dispersion estat gof pred-ictions
.k post-estimations nbreg neg-ative binom-ial reg-ressions
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/count.htm!http://www.ats.ucla.edu/stat/stata/faq/count.htm@

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.t How to do regression when the dependent variable is a proportion?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k reg-ressions depend-ent var-iables propor-tions logit transfo-rmations
.k graph-s graph-ing graph-ics scat-terplots corr-elations pred-icted
.k value-s protab mod-els general-ized linear glm
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/proportion.htm!http://www.ats.ucla.edu/stat/stata/faq/proportion.htm@

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.t How do I interpret quantile regression coefficients?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k quantile-s reg-ressions coef-ficients tabstat qreg bina-ry
.k pred-ictor pred-ictions med-ians model-s tab-ulate tab-ulations
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/quantreg.htm!http://www.ats.ucla.edu/stat/stata/faq/quantreg.htm@

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.t How can I do a scatterplot with regression line in Stata?
.a UCLA Academic Technology Services
.k ucla graph-s graph-ing graph-ics
.k scat-terplots plot-s reg-ressions line-s two-way way
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/scatter.htm!http://www.ats.ucla.edu/stat/stata/faq/scatter.htm@

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.t How can I graphically compare OLS and BLUP results in Stata?
.a UCLA Academic Technology Services
.k ucla graph-s graph-ing graph-ics ols ordinary least sq-uares reg-ressions
.k blup best linear bias-ed unbias-ed pred-ictor result-s shrink axis axes
.k intercep-t slope-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/blup.htm!http://www.ats.ucla.edu/stat/stata/faq/blup.htm@

.e FAQ
.c faq
.t How can I compare regression coefficients between 2 groups?
.a UCLA Academic Technology Services
.k ucla stat-istics reg-ressions test-s test-ing equal-ity coef-ficients
.k compar-isons compar-e group-s sort by-sort
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/compreg2.htm!http://www.ats.ucla.edu/stat/stata/faq/compreg2.htm@

.e FAQ
.c faq
.t How can I compare regression coefficients across 3 (or more) groups?
.a UCLA Academic Technology Services
.k ucla stat-istics reg-ressions test-s test-ing equal-ity coef-ficients
.k compar-e compar-isons group-s sort by-sort
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/compreg3.htm!http://www.ats.ucla.edu/stat/stata/faq/compreg3.htm@

.e FAQ
.c faq
.t How can I get descriptive stat. and the 5 number summary on 1 line?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k univar-iate summ-ary summ-aries box-plots plot-s descrip-tive
.k num-eric num-bers summ-ary summ-arize line-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/univar.htm!http://www.ats.ucla.edu/stat/stata/faq/univar.htm@

.e FAQ
.c faq
.t How can I get poisson probabilities in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics pprob poisson prob-ability prob-abilities
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/pprob.htm!http://www.ats.ucla.edu/stat/stata/faq/pprob.htm@

.e FAQ
.c faq
.t How do I do ^elementwise^ operations on a matrix?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment matr-ix matr-ices oper-ators ele-ments
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/elemmatrix.htm!http://www.ats.ucla.edu/stat/stata/faq/elemmatrix.htm@

.e FAQ
.c faq
.t What is the difference between ^=^ and ^==^ in Stata?
.a UCLA Academic Technology Services
.k ucla single equal-s = == oper-ators test-s for equal-ity logic-al
.k diff-erences double-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/equalequal.htm!http://www.ats.ucla.edu/stat/stata/faq/equalequal.htm@

.e FAQ
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.t How can I translate a file into a postscript file?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k translate convert convers-ions file-s ps posts-cript findfile
.k text-s result-s output-ting output-ing help win-dows type-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/help_print.htm!http://www.ats.ucla.edu/stat/stata/faq/help_print.htm@

.e FAQ
.c faq
.t How to use ^file write^ to write results or other info. to a text file?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment file-s writ-e result-s text-s extern-als
.k summ-ary summ-arize descrip-tive stat-istics separ-ated tab-ulate
.k tab-ulations fix-ed format-s format-ting format-ted creat-ed value-s
.k var-iables local-ly foreach macro-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/filewrite.htm!http://www.ats.ucla.edu/stat/stata/faq/filewrite.htm@

.e FAQ
.c faq
.t Path analysis
.a UCLA Academic Technology Services
.k ucla stat-istics path-s anal-ysis pathreg
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/pathreg.htm!http://www.ats.ucla.edu/stat/stata/faq/pathreg.htm@

.e FAQ
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.t Likelihood ratio, Wald, and Lagrange multiplier (score) test
.a UCLA Academic Technology Services
.k ucla stat-istics like-lihood ratio-s wald lagrange multipli-er scor-es
.k test-s test-ing nest-ed model-s param-eters est-imation est-imates
.k compar-isons compar-e log-s post-estimations lrtest
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/nested_tests.htm!http://www.ats.ucla.edu/stat/stata/faq/nested_tests.htm@

.e FAQ
.c faq
.t How can I find where to split a piecewise regression?
.a UCLA Academic Technology Services
.k ucla stat-istics split piecewise reg-ressions fit-ting nl non linear
.k nonlin-ear least sq-uares
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/nl_optimal_knots.htm!http://www.ats.ucla.edu/stat/stata/faq/nl_optimal_knots.htm@

.e FAQ
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.t Why can't I save the contents of the results window?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment sav-ed content-s result-s win-dows log-s
.k file-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/save_results.htm!http://www.ats.ucla.edu/stat/stata/faq/save_results.htm@

.e FAQ
.c faq
.t Can I make the results window hold more results?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment result-s win-dows log-s scrollbufsize
.k buffer size scrol-ling
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/scroll_buffer.htm!http://www.ats.ucla.edu/stat/stata/faq/scroll_buffer.htm@

.e FAQ
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.t How do I update my copy of Stata?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment upd-ates stata
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/updating_stata.htm!http://www.ats.ucla.edu/stat/stata/faq/updating_stata.htm@

.e FAQ
.c faq
.t I have Stata 10, how can I save data so it can be used in Stata 8 or 9?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment stata saveold old version-s sav-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/save_old.htm!http://www.ats.ucla.edu/stat/stata/faq/save_old.htm@

.e FAQ
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.t How to change the font (PC version)?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment change font-s win-dows
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/change_font_pc.htm!http://www.ats.ucla.edu/stat/stata/faq/change_font_pc.htm@

.e FAQ
.c faq
.t Top 10 Questions about Stata
.a UCLA Academic Technology Services
.k ucla
.k font-face font-s dock-ing guide-s pin interface set-tings
.k data-sets set-s manage-ment stat-istics scrollbufsize buffer scrol-ling
.k matsize more mem-ory win-dows size-s resize-s resiz-ing
.k sav-ed sav-ing result-s copy-ing graph-s graph-ing graph-ics
.k saveold old version-s content-s paste pasting pref-erences
.k graph7 file-s read upd-ates log-s manip-ulation float-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/Top10.htm!http://www.ats.ucla.edu/stat/stata/faq/Top10.htm@

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.t How can I compute Omega squared in Stata after an anova?
.a UCLA Academic Technology Services
.k ucla stat-istics anova anal-ysis variance-s omega-2 sq-uared 2
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/omega2.htm!http://www.ats.ucla.edu/stat/stata/faq/omega2.htm@

.e FAQ
.c faq
.t Can I make regression tables that look like those in journal articles?
.a UCLA Academic Technology Services
.k ucla stat-istics outreg format-ting reg-ressions output-ting output-ing
.k tabl-es
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/outreg.htm!http://www.ats.ucla.edu/stat/stata/faq/outreg.htm@

.e FAQ
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.t How can I quickly convert many string variables to numeric variables?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k str-ings var-iables convert convers-ions num-erical encode code-s
.k destring num-bers value-s mult-iple encode charac-ters real
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/destring.htm!http://www.ats.ucla.edu/stat/stata/faq/destring.htm@

.e FAQ
.c faq
.t What types of weights do SAS, Stata, and SPSS support?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k weight-s weight-ed weight-ing pw-eights aw-eights fw-eights iw-eights
.k freq-uency prob-ability importance analytic samp-les samp-ling
.k sas spss stata int-egers num-bers ave-rages convert convers-ions
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/weights.htm!http://www.ats.ucla.edu/stat/stata/faq/weights.htm@

.e FAQ
.c faq
.t How do I do this SAS command in Stata?
.a UCLA Academic Technology Services
.k ucla util-ity sas stata command-s equiv-alence equiv-alency
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/sas_command_to_stata.htm!http://www.ats.ucla.edu/stat/stata/faq/@
		@browser:http://www.ats.ucla.edu/stat/stata/faq/sas_command_to_stata.htm!sas_command_to_stata.htm@

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.t How can I handle the "no room to add more observations" error?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k obs-ervations error-s r(901) 901 mem-ory size limit-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/setmemory.htm!http://www.ats.ucla.edu/stat/stata/faq/setmemory.htm@

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.t How can I handle the "matsize too small" error?
.a UCLA Academic Technology Services
.k ucla util-ity matsize set matr-ices matr-ix rc 146 r(146) 908 r(908)
.k err-ors small
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/matsize.htm!http://www.ats.ucla.edu/stat/stata/faq/matsize.htm@

.e FAQ
.c faq
.t How to extract a portion of a string var. using regular expressions?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k extrac-tion str-ings var-iables expr-essions regular
.k func-tions match-ed match-es match-ing regexm regexr replace regexs
.k convert convers-ions oper-ators sub-strings
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/regex.htm!http://www.ats.ucla.edu/stat/stata/faq/regex.htm@

.e FAQ
.c faq
.t How do I copy Stata output and Stata graphs into MS Word?
.a UCLA Academic Technology Services
.k ucla output-ting output-ing copy-ing paste pasting
.k ms-word word graph-s graph-ics graph-ing font-face font-s
.k space log-s .log result-s sav-ed file-s microsoft
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/outgraph.htm!http://www.ats.ucla.edu/stat/stata/faq/outgraph.htm@

.e FAQ
.c faq
.t How can I output a formatted ASCII file?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment ascii text out-puting out-putting
.k file-s type-s do-files format-s format-ted
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/outform.htm!http://www.ats.ucla.edu/stat/stata/faq/outform.htm@

.e FAQ
.c faq
.t How can I input a small dataset quickly?
.a UCLA Academic Technology Services
.k ucla data-sets set-s small input-ting input-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/inputquick.htm!http://www.ats.ucla.edu/stat/stata/faq/inputquick.htm@

.e FAQ
.c faq
.t How do I read a data file that has commas or tabs as delimiters?
.a UCLA Academic Technology Services
.k ucla data-sets set-s comma-s separ-ated tab-s read-ing delimit-er
.k insheet input-ting input-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/readcommatab.htm!http://www.ats.ucla.edu/stat/stata/faq/readcommatab.htm@

.e FAQ
.c faq
.t How to separate a single file into multiple files for analysis in ^hlm^?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k hlm prog-rams prog-ramming convert convers-ions file-s creat-e
.k 2 level-s 1 3 separ-ate single mult-iple anal-ysis preserve unique
.k restore collapse
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/stata2hlm_dofile.htm!http://www.ats.ucla.edu/stat/stata/faq/stata2hlm_dofile.htm@

.e FAQ
.c faq
.t How to convert a Stata file to a 2-level HLM file using ^hlm^?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k hlm prog-rams prog-ramming convert convers-ions translate file-s creat-e
.k 2 level-s win-dows interface ssm stat-istics matr-ix matr-ices
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/stata2hlm_hlm_interface.htm!http://www.ats.ucla.edu/stat/stata/faq/stata2hlm_hlm_@
		@browser:http://www.ats.ucla.edu/stat/stata/faq/stata2hlm_hlm_interface.htm!interface.htm@

.e FAQ
.c faq
.t How can I use the ^hlm^ prog. to convert a Stata file to an HLM file?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k hlm prog-rams prog-ramming convert convers-ions translate file-s creat-e
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/stata2hlm_prg.htm!http://www.ats.ucla.edu/stat/stata/faq/stata2hlm_prg.htm@

.e FAQ
.c faq
.t How can I convert a Stata data file to an MLwiN data file?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment convert convers-ions .dta dta mlwin
.k stata2mlwin stata
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/stata2mlwin.htm!http://www.ats.ucla.edu/stat/stata/faq/stata2mlwin.htm@

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.c faq
.t How can I convert a Stata data file to an Mplus data file?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment convert convers-ions .dta dta mplus
.k stata2mplus stata
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/stata2mplus.htm!http://www.ats.ucla.edu/stat/stata/faq/stata2mplus.htm@

.e FAQ
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.t How can I load, write or view dBASE, Excel or Access files using ^odbc^?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment odbc load-ing input-ting input-ing read
.k open database base ms access excel dbase query file-s writ-e writ-ing
.k source view-er conn-ections connectivity
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/odbc.htm!http://www.ats.ucla.edu/stat/stata/faq/odbc.htm@

.e FAQ
.c faq
.t How do I export a Stata .dta file to a SAS XPORT file?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment expor-ting dta .dta fda fdasav-e
.k sas sav-e file-s sav-ing xport format-s xpt spss
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/outxpt.htm!http://www.ats.ucla.edu/stat/stata/faq/outxpt.htm@

.e FAQ
.c faq
.t How do I export Stata .dta files to other programs?
.a UCLA Academic Technology Services
.k ucla data-sets set-s stata expor-ting dta .dta outsheet comma-s separ-ated
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/outsheet.htm!http://www.ats.ucla.edu/stat/stata/faq/outsheet.htm@

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.c faq
.t How do you use the ^wincorr^ command?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k wincorr obs-ervations corr-elations corr-elate var-iables
.k winsor
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/wincorr.htm!http://www.ats.ucla.edu/stat/stata/faq/wincorr.htm@

.e FAQ
.c faq
.t How can I make spaghetti plots in Stata?
.a UCLA Academic Technology Services
.k ucla graph-s graph-ing graph-ics spaghetti plot-s spagplot
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/spagplot.htm!http://www.ats.ucla.edu/stat/stata/faq/spagplot.htm@

.e FAQ
.c faq
.t How can I quickly recode missing values into different categories?
.a UCLA Academic Technology Services
.k ucla
.k recode codebook code-s book-s data-sets set-s manage-ment gen-erate
.k replace var-iables category categories mvdecode group-s
.k miss-ing value-s num-bers num-erical mvencode
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/missing_mvencode.htm!http://www.ats.ucla.edu/stat/stata/faq/missing_mvencode.htm@

.e FAQ
.c faq
.t Can I quickly see how many missing values a variable has?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment nmissing npresent miss-ing value-s
.k nonmiss-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/nmissing.htm!http://www.ats.ucla.edu/stat/stata/faq/nmissing.htm@

.e FAQ
.c faq
.t How can I detect duplicate observations?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k dup-licates obs-ervations drop tag list-s dups uniq-ue dup-licated
.k report-ing examp-les row-s delete remov-e repeat-ing repeat-ed
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/stata_faq_dup.htm!http://www.ats.ucla.edu/stat/stata/faq/stata_faq_dup.htm@

.e FAQ
.c faq
.t How to assign the val. of a var. as the val. labels of another var.
.a UCLA Academic Technology Services
.k ucla
.k value-s var-iables label-s data-sets set-s manage-ment labmask labutil
.k encode num-erical str-ings
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/labmask.htm!http://www.ats.ucla.edu/stat/stata/faq/labmask.htm@

.e FAQ
.c faq
.t How can I expand obs. with respect to dates and update my dates?
.a UCLA Academic Technology Services
.k ucla fill-ed down obs-ervations date-s upd-ates time var-iables
.k order-ed diff-erences elap-sed format-s data-sets set-s manage-ment
.k expand func-tions
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/fill_down.htm!http://www.ats.ucla.edu/stat/stata/faq/fill_down.htm@

.e FAQ
.c faq
.t How can I draw a random sample of my data?
.a UCLA Academic Technology Services
.k ucla
.k bs bstat bsample stat-istics resamp-le resamp-ling bias-es replacem-ent
.k rand-om samp-les samp-ling seed set-s set-tings size-s data-sets count-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/sample.htm!http://www.ats.ucla.edu/stat/stata/faq/sample.htm@

.e FAQ
.c faq
.t How can I combine a large number of files?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k merge comb-ine join large num-erical num-bers file-s append read-ing
.k macro-s return result-s ascii text convert comma-s separ-ated tab-s insheet
.k .dta dta-files
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/append_many_files.htm!http://www.ats.ucla.edu/stat/stata/faq/append_many_files.htm@

.e FAQ
.c faq
.t How can I randomly assign observations to groups in Stata?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment gen-erate rand-om obs-ervations
.k group-s sort var-iables assign-ment
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/assign.htm!http://www.ats.ucla.edu/stat/stata/faq/assign.htm@

.e FAQ
.c faq
.t How can I merge multiple files in Stata?
.a Boston College Graduate Statistical Assistant Program
.k ucla boston data-sets set-s manage-ment merge comb-ine join var-iables add
.k mult-iple file-s describ-e sort drop-ping
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/multmerge.htm!http://www.ats.ucla.edu/stat/stata/faq/multmerge.htm@

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.c faq
.t How do I standardize variables in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k stand-ardized stand-ardization stand-ardised stand-ardisation
.k var-iables std egen value-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/standardize.htm!http://www.ats.ucla.edu/stat/stata/faq/standardize.htm@

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.c faq
.t How can I quickly recode continuous variables into groups?
.a UCLA Academic Technology Services
.k ucla egen stat-istics cut func-tions
.k group-ing group-s gen-erate var-iables data-sets set-s manage-ment
.k recode continu-ous tabl-es tab-ulate
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/cut.htm!http://www.ats.ucla.edu/stat/stata/faq/cut.htm@

.e FAQ
.c faq
.t Why am I losing precision with large whole numbers?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment precis-ion stor-age num-bers digit-s
.k var-iables id-s float-s double-s input-ting input-ing format-s int-egers
.k value-s long-s double-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/longid.htm!http://www.ats.ucla.edu/stat/stata/faq/longid.htm@

.e FAQ
.c faq
.t Can I do ^by^ and ^sort^ in one command?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment by-s sort bysort
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/bys.htm!http://www.ats.ucla.edu/stat/stata/faq/bys.htm@

.e FAQ
.c faq
.t How can I list observations in blocks?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment list-s var-iables listblck block-s
.k obs-ervations
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/listblck.htm!http://www.ats.ucla.edu/stat/stata/faq/listblck.htm@

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.c faq
.t How do I check that the same data input by two people are consistent?
.a UCLA Academic Technology Services
.k ucla
.k data-sets set-s manage-ment double-s entry compar-isons compar-e cf
.k two value-s diff-erences rename name-s var-iables change for-each
.k loop-s loop-ing for-values obs-ervations count-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/stata_decheck.htm!http://www.ats.ucla.edu/stat/stata/faq/stata_decheck.htm@

.e FAQ
.c faq
.t How can I run a piecewise regression in Stata?
.a UCLA Academic Technology Services
.k ucla intercept constant-s slope reg-ressions
.k mkspline stat-istics graph-s graph-ics graph-ing spline-s piecewise linear
.k separ-ate scat-terplots plot-s comb-ine join merge model-s code-s
.k pred-ictions pred-icted tablist mkspline
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/piecewise.htm!http://www.ats.ucla.edu/stat/stata/faq/piecewise.htm@

.e FAQ
.c faq
.t How to perform Sobel-Goodman mediation tests in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k sobel-goodman goodman test-s indep-endent var-iables depend-ent
.k sgmediation mediator mediation
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/sgmediation.htm!http://www.ats.ucla.edu/stat/stata/faq/sgmediation.htm@

.e FAQ
.c faq
.t Can I make regression tables that look like those in journal articles?
.a UCLA Academic Technology Services
.k ucla stat-istics reg-ressions tabl-es estout format-ting format-s
.k est-imates est-imation stor-e output-ting output-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/estout.htm!http://www.ats.ucla.edu/stat/stata/faq/estout.htm@

.e FAQ
.c faq
.t Comparing various methods of analyzing clustered data
.a UCLA Academic Technology Services
.k ucla stat-istics
.k reg-ressions clus-ters clus-tered stand-ard err-ors robust coef-ficients
.k multi-level level survey-s svy-: : areg xtreg xtgls xt-mixed
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/clusterreg.htm!http://www.ats.ucla.edu/stat/stata/faq/clusterreg.htm@

.e FAQ
.c faq
.t How can I convert string variables to numeric variables in Stata?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k str-ings var-iables convert convers-ions num-erical encode code-s
.k num-bers value-s
.x
	2/08	@browser:http://www.ats.ucla.edu/stat/stata/faq/str2num.htm!http://www.ats.ucla.edu/stat/stata/faq/str2num.htm@

.e FAQ
.c faq
.t Tests of proportionality in SAS, Stata, R and SPLUS
.a UCLA Academic Technology Services
.k ucla stat-istics
.k test-s propor-tional propor-tions haz-ards kaplan-meier meier curv-es
.k graph-s graph-ing graph-ics sts surviv-al func-tions time-s cox
.k stcox lrtest schoenfeld resid-uals stphtest
.k depend-ent covariate-s
.x
	10/07	@browser:http://www.ats.ucla.edu/stat/stata/faq/test_proportionality.htm!http://www.ats.ucla.edu/stat/stata/faq/@
		@browser:http://www.ats.ucla.edu/stat/stata/faq/test_proportionality.htm!test_proportionality.htm@

.e FAQ
.c faq
.t How do I use ^xtline^ in Stata?
.a UCLA Academic Technology Services
.k ucla
.k xt xtline graph-s graph-ics graph-ing line-s plot-s linear panel-s
.k data-sets set-s overlay-ing
.x
	8/07	@browser:http://www.ats.ucla.edu/stat/stata/faq/xtline.htm!http://www.ats.ucla.edu/stat/stata/faq/xtline.htm@

.e FAQ
.c faq
.t Sample setups for commonly used survey data sets
.a UCLA Academic Technology Services
.k ucla sample-s survey-s svy data-sets set-s pw-eights weight-ed weight-s
.k repli-cates strat-ification strata prob-abilities prob-ability svy-set
.k mean-s stat-istics
.x
	8/07	@browser:http://www.ats.ucla.edu/stat/stata/faq/sample_survey_setups.htm!http://www.ats.ucla.edu/stat/stata/faq/@
		@browser:http://www.ats.ucla.edu/stat/stata/faq/sample_survey_setups.htm!sample_survey_setups.htm@

.e FAQ
.c faq
.t How to collapse a daily time series to a monthly time series?
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment
.k collapse time-series series day daily month-ly convert convers-ions
.k func-tions date-s
.x
	10/06	@browser:http://www.ats.ucla.edu/stat/stata/faq/time_funcs_aggr_monthly.htm!http://www.ats.ucla.edu/stat/stata/faq/@
		@browser:http://www.ats.ucla.edu/stat/stata/faq/time_funcs_aggr_monthly.htm!time_funcs_aggr_monthly.htm@

.e FAQ
.c faq
.t How can I compute tetrachoric correlations in Stata?
.a UCLA Academic Technology Services
.k ucla stat-istics
.k tetra-choric corr-elations dicho-tomous var-iables matr-ix matr-ices
.k polyc-horic polys-erial
.x
	10/06	@browser:http://www.ats.ucla.edu/stat/stata/faq/tetrac.htm!http://www.ats.ucla.edu/stat/stata/faq/tetrac.htm@

.e FAQ
.c faq
.t How can I test for equality of distribution?
.a UCLA Academic Technology Services
.k ucla stat-istics test-s test-ing ksmirnov kol-mogorov smir-nov
.k equal-ity distrib-utions kdensity dens-ity kern-el plot-s
.x
	10/06	@browser:http://www.ats.ucla.edu/stat/stata/faq/eq_dist.htm!http://www.ats.ucla.edu/stat/stata/faq/eq_dist.htm@

.e FAQ
.c faq
.t How do I convert among SAS, Stata and SPSS Files?
.a UCLA Academic Technology Services
.k ucla data-sets set-s sas spss stata convers-ion convert-ing format file-s
.k statt-ransfer transfe-r dbmscopy insheet read-ing xport outsheet csv
.k comma-s separ-ated file-s fdause xpt
.x
	5/06	@browser:http://www.ats.ucla.edu/stat/stata/faq/convert_pkg.htm!http://www.ats.ucla.edu/stat/stata/faq/convert_pkg.htm@

.e FAQ
.c faq
.t Strategically using Gen. Purpose Stat. Packages:  Stata, SAS and SPSS
.a UCLA Academic Technology Services
.k prog-ramming prog-rams command-s compar-e compar-isons
.k data-sets set-s manage-ment
.k graph-s graph-ics graph-ing docu-mentation stata sas spss stat-istics
.k user-s writ-ten add-itions package-s
.k www internet web-sites site-s upgrade-s upd-ates
.k net util-ity help on-line instal-lation feature-s meeting-s group-s
.k bootstrap-: : jack-knifed jack-nifed vce statalist list-servers server-s
.k support tech-nical press netc-ourses compat-ibility across release-s
.k platf-orms limit-s operating system publication-s
.x
	12/05	@browser:http://www.ats.ucla.edu/stat/technicalreports/Number1/ucla_ATSstat_tr1_1.0.pdf!http://www.ats.ucla.edu/stat/technicalreports/Number1/@
		@browser:http://www.ats.ucla.edu/stat/technicalreports/Number1/ucla_ATSstat_tr1_1.0.pdf!ucla_ATSstat_tr1_1.0.pdf@

.e FAQ
.c faq
.t Survey data w/ strat. random sampling w/ allocation to strata design
.a UCLA Academic Technology Services
.k ucla
.k svy-: : svyset survey-s rand-om sample-s samp-ling anal-yze
.k total-s pop-ulations strat-a strat-ified alloc-ation
.k design-s data-sets set-s manage-ment stat-istics fpc weight-s
.x
	10/05	How do I analyze survey data with a stratified random
		sampling with allocation to strata design?
		@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_stata_strrsac.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_stata_strrsac.htm@

.e FAQ
.c faq
.t How do I analyze survey data with a stratified random sampling design?
.a UCLA Academic Technology Services
.k ucla
.k svy-: : svyset total-s pop-ulations survey-s strat-ified strat-a anal-yze
.k est-imates est-imation fpc psu rand-om samp-les samp-ling
.k design-s data-sets set-s manage-ment stat-istics estat effect-s
.k ratio-s
.x
	10/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_stata_strrs.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_stata_strrs.htm@

.e FAQ
.c faq
.t How can I do regression estimation with survey data?
.a UCLA Academic Technology Services
.k ucla
.k svy-: : svyset total-s survey-s est-imates est-imation
.k fpc linear reg-ressions data-sets set-s
.x
	10/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_stata_regest.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_stata_regest.htm@

.e FAQ
.c faq
.t How can I do ratio estimation with survey data?
.a UCLA Academic Technology Services
.k ucla
.k svy-: : svyset survey-s est-imates est-imation
.k fpc pop-ulations ratio-s data-sets set-s
.x
	10/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_stata_ratioest.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_stata_ratioest.htm@

.e FAQ
.c faq
.t How do I analyze survey data with a simple random sample design?
.a UCLA Academic Technology Services
.k ucla
.k svy-: : svyset mean-s total-s pop-ulations survey-s simple rand-om anal-yze
.k design-s ratio-s data-sets set-s manage-ment stat-istics samp-les samp-ling
.k est-imates est-imation fpc estat effect-s
.x
	10/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_stata_srs.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_stata_srs.htm@

.e FAQ
.c faq
.t How do I analyze survey data with a repeated systematic sample design?
.a UCLA Academic Technology Services
.k ucla
.k svy-: : svyset survey-s repeat-ed sample-s samp-ling anal-yze
.k total-s pop-ulations estat effect-s
.k design-s data-sets set-s manage-ment stat-istics
.k mean-s est-imates est-imation fpc
.x
	10/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_stata_rss.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_stata_rss.htm@

.e FAQ
.c faq
.t How do I analyze survey data with a one-stage cluster design?
.a UCLA Academic Technology Services
.k ucla
.k svy-: : svyset total-s pop-ulations survey-s stage anal-yze
.k anal-ysis design-s data-sets set-s manage-ment stat-istics
.k est-imates est-imation ratio-s mean-s fpc estat effect-s
.x
	10/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_stata_oscluster.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_stata_oscluster.htm@

.e FAQ
.c faq
.t How do I analyze survey data with a systematic sample design?
.a UCLA Academic Technology Services
.k ucla
.k svy:- : svyset ratio-s survey-s sample-s samp-ling anal-yze
.k strat-a strat-ified strat-ification total-s pop-ulations anal-ysis
.k design-s data-sets set-s manage-ment stat-istics estat effect-s
.x
	10/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_stata_ss.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_stata_ss.htm@

.e FAQ
.c faq
.t How do I analyze survey data with poststratification?
.a UCLA Academic Technology Services
.k ucla stat-istics estat effect-s cond-itional pop-ulations
.k svy-: : svyset survey-s ratio-s mean-s total-s est-imates
.k post strat-a strat-ified strat-ification est-imation
.x
	8/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_stata_post.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_stata_post.htm@

.e FAQ
.c faq
.t How do I use the Stata survey (svy) commands?
.a UCLA Academic Technology Services
.k ucla stat-istics svy-: : reg-ressions survey-s command-s svyset
.x
	5/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_introsurvey.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_introsurvey.htm@

.e FAQ
.c faq
.t Survey data with two-stage cluster with unequal probabilities design
.a UCLA Academic Technology Services
.k ucla
.k svy-: : svyset ratio-s total-s survey-s anal-yze
.k two stage clus-ters est-imates est-imation estat effect-s
.k prob-ability prob-abilities design-s data-sets set-s
.x
	5/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_stata_tscup.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_stata_tscup.htm@

.e FAQ
.c faq
.t How analyze survey data with stratified design with certainty PSUs?
.a UCLA Academic Technology Services
.k ucla
.k svy-: : svyset ratio-s total-s survey-s anal-yze
.k est-imates est-imation estat effect-s strat-ified strat-ification
.k prob-ability prob-abilities design-s psu data-sets set-s estat effect-s
.x
	5/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/svy_stata_scpsu.htm!http://www.ats.ucla.edu/stat/stata/faq/svy_stata_scpsu.htm@

.e FAQ
.c faq
.t Tips on installing & config. Stata for lab managers with Macintoshes
.a UCLA Academic Technology Services
.k ucla
.k lab-s laborat-ories laborat-ory command-s
.k mem-ory virtual set size-s mac-intosh
.k pref-erences opt-ions set-tings instal-ling instal-lation
.k ado-files ado-size .ado creat-e dir-ectory dir-ectories
.k upd-ates net web-sites site-s www stata.com path-s folder-s
.x
	1/04	@browser:http://www.ats.ucla.edu/stat/stata/icu/customize_MacLab.htm!http://www.ats.ucla.edu/stat/stata/icu/customize_MacLab.htm@

.e FAQ
.c faq
.t Tips on customizing Stata 8.x for lab managers running Windows
.a UCLA Academic Technology Services
.k ucla
.k lab-s laborat-ories laborat-ory command-s
.k mem-ory virtual set win-dows 95 98 nt size-s
.k pref-erences opt-ions set-tings instal-ling instal-lation
.k ado-files ado-size .ado creat-e dir-ectory dir-ectories
.k upd-ates net web-sites site-s www stata.com path-s folder-s
.x
	12/03	@browser:http://www.ats.ucla.edu/stat/stata/icu/customize_WinLab.htm!http://www.ats.ucla.edu/stat/stata/icu/customize_WinLab.htm@

.e FAQ
.c faq
.t Movie: How do I make windows dock, pin, and float?
.a UCLA Academic Technology Services
.k ucla movie-s util-ity
.k interface win-dows dock-ing guide-s pin float pref-erences set-tings viewer-s
.k result-s var-iables command-s result-s max-imize default position-s change
.k tab-s move mov-ing
.x
	5/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/stata9gui/dockfloatpin.html!http://www.ats.ucla.edu/stat/stata/faq/stata9gui/@
		@browser:http://www.ats.ucla.edu/stat/stata/faq/stata9gui/dockfloatpin.html!dockfloatpin.html@

.e FAQ
.c faq
.t Movie: How do I load window settings?
.a UCLA Academic Technology Services
.k ucla movie-s util-ity
.k interface win-dows dock-ing pin float pref-erences set-tings viewer-s tab-s
.k result-s var-iables command-s result-s max-imize load-ing default position-s
.x
	5/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/stata9gui/loadingsettings.html!http://www.ats.ucla.edu/stat/stata/faq/stata9gui/@
		@browser:http://www.ats.ucla.edu/stat/stata/faq/stata9gui/loadingsettings.html!loadingsettings.html@

.e FAQ
.c faq
.t Movie: How do I save window settings?
.a UCLA Academic Technology Services
.k ucla movie-s util-ity
.k interface win-dows dock-ing pin float pref-erences set-tings viewer-s tab-s
.k result-s var-iables command-s result-s max-imize load-ing default position-s
.k sav-ed sav-ing delete remov-e change creat-ed
.x
	5/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/stata9gui/savesettings.html!http://www.ats.ucla.edu/stat/stata/faq/stata9gui/@
		@browser:http://www.ats.ucla.edu/stat/stata/faq/stata9gui/savesettings.html!savesettings.html@

.e FAQ
.c faq
.t Movie: How do I set other window preferences?
.a UCLA Academic Technology Services
.k ucla movie-s util-ity
.k interface win-dows dock-ing guide-s pin float pref-erences set-tings viewer-s
.k result-s var-iables command-s result-s max-imize load-ing position-s tab-s
.k sav-ed sav-ing delete remov-e change creat-ed
.k scrollbufsize buffer size scrol-ling
.k screen xp move mov-ing persist-ent split-ters
.x
	5/05	@browser:http://www.ats.ucla.edu/stat/stata/faq/stata9gui/genprefs.html!http://www.ats.ucla.edu/stat/stata/faq/stata9gui/genprefs.html@

.e FAQ
.c faq
.t Annotated output: Regression analysis
.a UCLA Academic Technology Services
.k ucla stat-istics reg-ressions anal-ysis anova tab-ulate
.k model-s resid-uals total-s df ms degree-s freedom
.k variance-s mean-s sq-uared f value-s  p t r-squared r-2 2
.k adjust-ed param-eters est-imates est-imation conf-idence
.k interv-als ci-s coef-ficients tab-ulations tabl-es tab-s
.k stand-ard err-ors tail-s root-s dicho-tomous var-iables sum-s sq-uares
.k source
.x
	11/08	@browser:http://www.ats.ucla.edu/stat/stata/output/reg_output.htm!http://www.ats.ucla.edu/stat/stata/output/reg_output.htm@

.e FAQ
.c faq
.t Annotated output: Robust regression
.a UCLA Academic Technology Services
.k ucla stat-istics robust reg-ressions out-puting out-putting ordinary ols
.k least sq-uared outlier-s outcome-s pred-ictions pred-icted pred-ictors
.k rreg huber
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/output/stata_robust.htm!http://www.ats.ucla.edu/stat/stata/output/stata_robust.htm@

.e FAQ
.c faq
.t Annotated output: MANOVA
.a UCLA Academic Technology Services
.k ucla stat-istics manova anova multiv-ariate anal-ysis variance-s
.k output-ting output-ing mult-iple depen-dent var-iables tab-ulate
.k tab-ulations tabstat eigen-values
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/output/Stata_MANOVA.htm!http://www.ats.ucla.edu/stat/stata/output/Stata_MANOVA.htm@

.e FAQ
.c faq
.t Annotated output: Discriminant analysis
.a UCLA Academic Technology Services
.k ucla stat-istics discrim-inatory discrim-ination discrim-inant anal-ysis
.k out-puting out-putting continu-ous var-iables cat-egorical tabstat
.k corr-elations corr-elate tab-ulate candisc canon-ical linear lda
.k coef-ficients
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/output/stata_discrim.htm!http://www.ats.ucla.edu/stat/stata/output/stata_discrim.htm@

.e FAQ
.c faq
.t Annotated output: Canonical correlation analysis
.a UCLA Academic Technology Services
.k ucla stat-istics canon-ical corr-elations corr-elate anal-ysis out-puting
.k out-putting linear comb-ine comb-inations var-iables dimen-sional
.k dim-ensions signif-icant signif-icance test-s test-ing
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/output/Stata_CCA.htm!http://www.ats.ucla.edu/stat/stata/output/Stata_CCA.htm@

.e FAQ
.c faq
.t Annotated output: Probit regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k probit reg-ressions bina-ry outcome-s var-iables pred-ictions pred-icted
.k prob-abilities iter-ative iter-ated iter-ations log-s like-lihood
.k max-imum est-imation est-imates lr ratio-s chi-2 2 chi-squared
.k sq-uared pseudo-rsquared r-squared r-2 param-eters
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/output/Stata_Probit.htm!http://www.ats.ucla.edu/stat/stata/output/Stata_Probit.htm@

.e FAQ
.c faq
.t Annotated output: Zero-inflated negative binomial regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k zero inflated neg-ative binom-ial reg-ressions est-imation est-imates
.k model-s anal-ysis zinb logit pred-icted pred-ictions count-s vuong test-s
.k iter-ative iter-ated iter-ations constant-s logis-tic ml-e max-imum
.k like-lihood log-s inflated num-ber obs-ervations lr ratio-s chi-2 2
.k chi-squared sq-uared
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/output/Stata_ZINB.htm!http://www.ats.ucla.edu/stat/stata/output/Stata_ZINB.htm@

.e FAQ
.c faq
.t Annotated output: Interval regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k inter-vals reg-ressions anal-ysis exact value-s pred-icted pred-ictions
.k model-s outcome-s var-iables intreg upper lower bound-s output-ting
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/output/Stata_Interval.htm!http://www.ats.ucla.edu/stat/stata/output/Stata_Interval.htm@

.e FAQ
.c faq
.t Annotated output: Truncated regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k trunc-ated reg-ressions anal-ysis pred-icted pred-ictions outcome-s
.k var-iables limit-s truncreg upper lower wald chi-squared sq-uared chi-2 2
.k prob-ability log-s like-lihood
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/output/Stata_Truncated.htm!http://www.ats.ucla.edu/stat/stata/output/Stata_Truncated.htm@

.e FAQ
.c faq
.t Annotated output: Tobit regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k tobit reg-ressions anal-ysis pred-icted pred-ictions outcome-s var-iables
.k range
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/output/Stata_Tobit.htm!http://www.ats.ucla.edu/stat/stata/output/Stata_Tobit.htm@

.e FAQ
.c faq
.t Annotated output: Zero-inflated poisson regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k zero inflated poisson reg-ressions est-imation est-imates zip model-s
.k anal-ysis hist-ograms pred-ictions pred-icted logit count-s vuong
.k test-s constant-s logis-tic ml-e max-imum like-lihood log-s lr
.k ratio-s chi-2 2 chi-squared sq-uared num-ber obs-ervations
.k iter-ative iter-ated iter-ations
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/output/Stata_ZIP.htm!http://www.ats.ucla.edu/stat/stata/output/Stata_ZIP.htm@

.e FAQ
.c faq
.t Annotated output: Zero-truncated poisson regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k zero trun-cated poisson reg-ressions ztp model-s est-imation est-imates
.k iter-ations log-s like-lihood ml-e max-imum like-lihood param-eters
.k pred-icted pred-ictions anal-ysis num-ber obs-ervations chi-2 2 chi-squared
.k sq-uared
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/output/Stata_ZTP.htm!http://www.ats.ucla.edu/stat/stata/output/Stata_ZTP.htm@

.e FAQ
.c faq
.t Annotated output: Zero-truncated negative binomial regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k zero trun-cated neg-ative binom-ial nbreg reg-ressions ztnb model-s
.k est-imation est-imates iter-ations log-s like-lihood ml-e max-imum
.k like-lihood param-eters pred-icted pred-ictions anal-ysis num-ber
.k obs-ervations chi-2 2 chi-squared sq-uared pseudo-rsquared r-2
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/output/Stata_ZTNB.htm!http://www.ats.ucla.edu/stat/stata/output/Stata_ZTNB.htm@

.e FAQ
.c faq
.t Annotated output: Negative binomial regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k nbreg gnbreg est-imation est-imates neg-ative binom-ial
.k reg-ressions ml-e max-imum like-lihood anal-ysis model-s
.k incid-ence rate-s ratio-s coef-ficients iter-ative iter-ated iter-ations
.k log-s disper-sion lr chi-2 2 chi-squared sq-uared num-ber obs-ervations
.k pseudo-rsquared r-2 irr-s param-eters
.x
	9/08	@browser:http://www.ats.ucla.edu/stat/stata/output/stata_nbreg_output.htm!http://www.ats.ucla.edu/stat/stata/output/@
		@browser:http://www.ats.ucla.edu/stat/stata/output/stata_nbreg_output.htm!stata_nbreg_output.htm@

.e FAQ
.c faq
.t Annotated Stata output: Descriptive statistics using ^summarize^
.a UCLA Academic Technology Services
.k ucla
.k stat-istics describ-e descrip-tions descrip-tive summ-ary summ-aries
.k summ-arize var-iables percent-iles rank-s obs-ervations variance-s
.k mean-s stand-ard err-ors skew-ness kurt-osis dev-iations sum-s weight-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/output/stata_summ_output.htm!http://www.ats.ucla.edu/stat/stata/output/@
		@browser:http://www.ats.ucla.edu/stat/stata/output/stata_summ_output.htm!stata_summ_output.htm@

.e FAQ
.c faq
.t Annotated Stata output: Factor analysis
.a UCLA Academic Technology Services
.k ucla factor-s stat-istics anal-ysis fautil eigen-values eigen-vectors
.k diff-erences variance-s propor-tional cumul-ative uniq-ueness
.k varimax rotation-s rotate load-ings horst orthog-onal estat common
.k post-estimations obliq-ue promax kaiser
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/output/fa_output.htm!http://www.ats.ucla.edu/stat/stata/output/fa_output.htm@

.e FAQ
.c faq
.t Annotated Stata output: Logistic regression analysis
.a UCLA Academic Technology Services
.k ucla stat-istics logit logis-tic reg-ressions anal-ysis dicho-tomous
.k var-iables iter-ations log-s max-imum like-lihood
.k obs-ervations ratio-s lr chi-squared sq-uared chi-2 2 test-s  df degree-s
.k freedom prob-ability pseudo-rsquared r-2 r-squared
.k sq-uared stand-ared err-ors odd-s est-imation est-imates nonlin-ear
.k non linear
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/output/stata_logistic.htm!http://www.ats.ucla.edu/stat/stata/output/stata_logistic.htm@

.e FAQ
.c faq
.t Annotated output: Multinomial logistic regression
.a UCLA Academic Technology Services
.k ucla
.k est-imation est-imates multin-omial ml-e max-imum like-lihood logit
.k mlogit logis-tic log-s cat-egorical outcome-s response-s var-iables
.k pseudo-rsquared r-2 ratio-s relative risk conf-idence inter-vals
.k stand-ard err-ors std chi-squared chi-2 2 stat-istics reg-ressions
.k odd-s iter-ative iter-ated iter-ations lr sq-uared prob-ability
.k param-eters rrr
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/output/stata_mlogit_output.htm!http://www.ats.ucla.edu/stat/stata/output/@
		@browser:http://www.ats.ucla.edu/stat/stata/output/stata_mlogit_output.htm!stata_mlogit_output.htm@

.e FAQ
.c faq
.t Annotated output: Ordered logistic regression
.a UCLA Academic Technology Services
.k ucla est-imation est-imates ologit order-ed ordinal propor-tional
.k log-s log-arithmic logit logis-tic reg-ressions ml-e max-imum like-lihood
.k iter-ative iter-ated iter-ations converg-ence prob-ability chi-2 2
.k pseudo-rsquared r-2 odd-s ratio-s stat-istics num-ber obs-ervations lr
.k df degree-s freedom chi-squared sq-uared mcfadden-s param-eters
.k coef-ficients brant test-s spost spost9 spostado
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/output/stata_ologit_output.htm!http://www.ats.ucla.edu/stat/stata/output/@
		@browser:http://www.ats.ucla.edu/stat/stata/output/stata_ologit_output.htm!stata_ologit_output.htm@

.e FAQ
.c faq
.t Annotated output: Poisson regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k poisson reg-ressions coef-ficients incid-ence rate-s ratio-s
.k irr-s like-lihood chi-squared sq-uared chi-2 2 iter-ations log-s ml-e
.k max-imum pseudo-rsquared r-squared r-2 param-eters est-imates
.k est-imation estat ic iter-ative iter-ated iter-ations log-s lr
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/output/stata_poisson_output.htm!http://www.ats.ucla.edu/stat/stata/output/stata_poisson_@
		@browser:http://www.ats.ucla.edu/stat/stata/output/stata_poisson_output.htm!output.htm@

.e FAQ
.c faq
.t Annotated Stata output: Correlation
.a UCLA Academic Technology Services
.k ucla stat-istics
.k describ-e descrip-tions descrip-tive coef-ficients
.k pwcorr corr-elations corr-elate pair-s pair-ed pair-wise delete
.k deletion data-sets set-s manage-ment miss-ing value-s list-wise
.k scat-terplots plot-s graph-s graph-ics graph-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/output/stata_corr_output.htm!http://www.ats.ucla.edu/stat/stata/output/@
		@browser:http://www.ats.ucla.edu/stat/stata/output/stata_corr_output.htm!stata_corr_output.htm@

.e Example
.c faq
.t Sample session
.k examp-les stat-istics data-sets set-s manage-ment graph-s graph-ics
.k graph-ing describ-e list-s summ-arize by tab-ulate tab-ulations corr-elate
.k corr-elations reg-ressions model-s
.x
	@browser:http://www.stata.com/capabilities/session.html!http://www.stata.com/capabilities/session.html@

.e Example
.c faq
.t Capabilities:  linear regression and influence
.k examp-les stat-istics reg-ressions linear plot-s diagnos-tics rvfplot
.k resid-uals versus vs fit-ted lvr2plot lever-age avplot-s add-ed var-iables
.k pred-ictions cook-sd d dfbeta-s
.x
	@browser:http://www.stata.com/capabilities/fit.html!http://www.stata.com/capabilities/fit.html@

.e Example
.c faq
.t Capabilities:  ANOVA & ANCOVA
.k examp-les stat-istics anova anocova ancova anal-ysis variance-s cov-ariances
.k factori-al design-s nest-ed way n-way unbal-anced bal-anced one-way two-way
.k repeat-ed meas-ures greenhouse-geisser geisser huynh-feldt feldt mixed
.k tabl-es test-s test-ing bartlett-s
.x
	@browser:http://www.stata.com/capabilities/ancova.html!http://www.stata.com/capabilities/ancova.html@

.e Example
.c faq
.t Capabilities:  quantile regression
.k examp-les stat-istics qreg med-ians quantile-s reg-ressions linear
.k mad lav least abs-olute dev-iations
.x
	@browser:http://www.stata.com/capabilities/qreg.html!http://www.stata.com/capabilities/qreg.html@

.e Example
.c faq
.t Capabilities:  GEE for panel data
.k examp-les stat-istics xt-gee probit binom-ial exch-angeable corr-elations
.k link family glm gee general-ized eq-uations est-imates est-imation
.k est-imators
.x
	@browser:http://www.stata.com/capabilities/xtgee.html!http://www.stata.com/capabilities/xtgee.html@

.e Example
.c faq
.t Capabilities:  cross-sectional time-series regression
.k examp-les stat-istics xt-reg cross section-al time-series series panel-s
.k reg-ressions xt-haus hausm-ans specifica-tion test-s test-ing rand-om
.k effect-s fix-ed xt-sum xt-tab xt-trans
.x
	@browser:http://www.stata.com/capabilities/xtreg.html!http://www.stata.com/capabilities/xtreg.html@

.e Example
.c faq
.t Capabilities:  logistic regression
.k examp-les stat-istics logis-tic reg-ressions mlogit logit multin-omial
.k clogit cond-itional ologit order-ed ordinal asm-probit probit
.k slogit stereo-typed mprobit multin-omial
.x
	@browser:http://www.stata.com/capabilities/logistic.html!http://www.stata.com/capabilities/logistic.html@

.e Example
.c faq
.t Capabilities:  Poisson regression
.k examp-les stat-istics poisson reg-ressions
.x
	@browser:http://www.stata.com/capabilities/poisson.html!http://www.stata.com/capabilities/poisson.html@

.e Example
.c faq
.t Capabilities:  factor analysis
.k examp-les stat-istics factor-s anal-ysis scor-e scor-ing alpha cron-bachs
.x
	@browser:http://www.stata.com/capabilities/factor.html!http://www.stata.com/capabilities/factor.html@

.e Example
.c faq
.t Capabilities:  principal components
.k examp-les stat-istics factor-s princ-ipal compon-ents anal-ysis greigen
.k graph-s graph-ics scree-plot eigen-values eigen-vectors scor-e scor-ing pca
.k plot-s pred-ictions corr-elate corr-elations
.x
	@browser:http://www.stata.com/capabilities/pcomp.html!http://www.stata.com/capabilities/pcomp.html@

.e Example
.c faq
.t Capabilities:  bootstrap sampling & estimation
.k examp-les stat-istics bstrap resamp-le resamp-ling samp-ling est-imation
.k boot-strapped est-imates bsample
.x
	@browser:http://www.stata.com/capabilities/boot.html!http://www.stata.com/capabilities/boot.html@

.e Example
.c faq
.t Capabilities:  maximum likelihood estimation
.k examp-les stat-istics ml-e max-imum like-lihood max-imization max-imize
.k logis-tic reg-ressions model-s
.x
	@browser:http://www.stata.com/capabilities/mlexample.html!http://www.stata.com/capabilities/mlexample.html@

.e Example
.c faq
.t Capabilities:  survey commands
.k examp-les stat-istics survey-s svyset mean-s lincom
.k linear comb-inations svy-: : logit logis-tic svydes-cribe
.x
	@browser:http://www.stata.com/capabilities/svycommands.html!http://www.stata.com/capabilities/svycommands.html@

.e Example
.c faq
.t Capabilities:  survival analysis
.k examp-les stat-istics st-des surviv-al fail-ure anal-ysis describ-e stsum
.k summ-arize summ-ary sts list-s graph-s graph-ics test-s test-ing st-cox cox
.x
	@browser:http://www.stata.com/capabilities/survivalsession.html!http://www.stata.com/capabilities/survivalsession.html@

.e Example
.c faq
.t Capabilities:  tables for epidemiologists
.k examp-les stat-istics epitab ir-i incid-ence rate-s
.k tabl-es epi-demiological epi-demiology tab-ulate
.x
	@browser:http://www.stata.com/capabilities/epitab.html!http://www.stata.com/capabilities/epitab.html@

.e Example
.c faq
.t Capabilities:  nonlinear regression
.k examp-les stat-istics nl nonlin-ear reg-ressions
.x
	@browser:http://www.stata.com/capabilities/nlreg.html!http://www.stata.com/capabilities/nlreg.html@

.e Example
.c faq
.t Capabilities:  matrix language
.k examp-les matr-ix matr-ices prog-ramming prog-rams
.x
	@browser:http://www.stata.com/capabilities/matrixlang.html!http://www.stata.com/capabilities/matrixlang.html@

.e Example
.c faq
.t Capabilities:  obtaining user-written programs
.k examp-les util-ity search net instal-lation user-s writ-ten add-itions
.k ado-files .ado prog-rams
.x
	@browser:http://www.stata.com/capabilities/userwritten.html!http://www.stata.com/capabilities/userwritten.html@

.e Example
.c faq
.t Capabilities:  obtaining official updates over the internet
.k examp-les util-ity upd-ates offici-al www net internet web-sites site-s
.x
	@browser:http://www.stata.com/capabilities/update.html!http://www.stata.com/capabilities/update.html@

.e Example
.c faq
.t Applied Linear Statistical Models
.a UCLA Academic Technology Services
.k ucla stat-istics applied linear statistical model-s reg-ressions
.k diagnos-tics rvpplot avplot-s graph-s graph-ing graph-ics plot-s
.k hat matr-ix matr-ices mkmat pred-icted scat-terplots two-way way
.k anova anal-ysis variance-s factor-s level-s effect-s lincom prcomp compar-e
.k compar-isons meas-urements meas-ures robvar mean-s time-series
.k tabstat qnorm kwallis Kruskal-Wallis kruskal-wallis wallis
.k equal-ity samp-les samp-ling size anovaplot conf-idence interv-als
.k table-s creat-ed dum-my dum-mies var-iables cell-s contrast-s
.k rand-om mixed est-imates est-imation limit-s std err-ors stand-ard
.k dot-s cov-ariances
.x
	4/08	examples from the book ^Applied Linear Statistical Models^
		by Neter, Kutner, et.al.
		@browser:http://www.ats.ucla.edu/stat/stata/examples/alsm/!http://www.ats.ucla.edu/stat/stata/examples/alsm/@

.e Example
.c faq
.t Regression Models for Categorical and Limited Dependent Variables
.a UCLA Academic Technology Services
.k ucla stat-istics est-imates est-imation reg-ressions
.k limit-s limit-ed depend-ent var-iables cat-egorical
.k continu-ous linear bina-ry outcome-s model-s probit logit prob-ability
.k pred-ictions hyp-othesis hyp-otheses goodness fit test-s test-ing
.k like-lihood ratio-s lrtest wald pearson-s resid-uals order-ed
.k anal-ysis oprobit ologit logit logistic marginal effect-s
.k cumul-ative multin-omial mlogit tobit prgen count-s poisson neg-ative
.k binom-ial nbreg describ-e list-coef display spostado prchange prtab
.k store label-s fitstat lstat lincom brant mlogtest mlogplot prcounts
.x
	2/08	examples from the book ^Regression Models for Categorical^
		^and Limited Dependent Variable^ by J. Scott Long
		@browser:http://www.ats.ucla.edu/stat/stata/examples/long/!http://www.ats.ucla.edu/stat/stata/examples/long/@

.e Example
.c faq
.t Textbook: Econometric Analysis of Cross Section & Panel Data
.a UCLA Academic Technology Services
.k ucla examp-les book-s wooldridge
.k stat-istics est-imates est-imation like-lihood model-s ml-e max-imum
.k asymp-totic cond-itional linear ordinary least sq-uares ols
.k instrum-ental var-iables gls general-ized effect-s mom-ents
.k min-imums distance d corner-s outcome-s censor-ed censor-ing
.k samp-ling samp-les strat-ification strat-ified strat-a strat-um
.k ave-rages treat-ments count-s duration anal-ysis reg-ressions
.k iv-reg2 pred-ictions test-s test-ing xt-reg cross section-al
.k discrete response-s tobit st-set tsset streg panel-s mlogit
.k logit lstat heckman selec-tion probit unrel-ated fitstat
.k hansen sureg xt-gls time-series series seemingly matr-ix matr-ices
.k robust stand-ardized stand-ardised err-ors correct-ion estat
.k classif-ications classif-ied multin-omial logistic fix-ed by
.k resid-uals sargan chi-squared sq-uared chi-2 2 chi-2tail weib-ull
.k haz-ards relativ-e glm two-step step
.x
	2/08	examples from the book ^Econometric Analysis of Cross^
		^Section and Panel Data^ by Jeffrey M. Wooldridge
		@browser:http://www.ats.ucla.edu/stat/stata/examples/eacspd/!http://www.ats.ucla.edu/stat/stata/examples/eacspd/@

.e Example
.c faq
.t Textbook examples:  Applied Logistic Regression (2nd Edition)
.a UCLA Academic Technology Services
.k ucla examp-les book-s hosmer lemeshow stat-istics reg-ressions logis-tic
.k logit graph-s graph-ics graph-ing scat-terplots plot-s collapse list-s lfit
.k vce recode gen-erate tab-ulate tab-ulations by sort expand data-sets set-s
.k manage-ment lrtest like-lihoodratio ratio-s test-s test-ing lincom linear
.k comb-inations tab2 xi-3 pred-ictions ksm smooth-ing lowess loess lstat lsens
.k lroc roc curv-es receiver operating charac-teristics input-ting input-ing
.k sensitiv-ity specifici-ty survey-s svy-: : strat-a strat-um psu mlogit
.k multin-omial constrain-ed constrain-ts ologit order-ed xt-logit
.k loneway fit-ting ocratio continu-ous continuation est-imates est-imation
.k case-controls control-s match-ed study studies samp-ling samp-les model-s
.k clogit cond-itional fracpoly frac-tional poly-nomials compar-isons two-way
.k way fitstat clfit hilo applied fit-ted estat lincom
.k goodness ldev dev-iance egen
.x
	2/08	examples from the book ^Applied Logistic Regression^
		^(2nd Edition)^ by David Hosmer and Stanley Lemeshow
		@browser:http://www.ats.ucla.edu/stat/stata/examples/alr2/!http://www.ats.ucla.edu/stat/stata/examples/alr2/@

.e Example
.c faq
.t Applied Longitudinal Data Anal.: Modeling Change & Event Occurrence
.a UCLA Academic Technology Services
.k ucla examp-les book-s singer willett
.k stat-istics est-imates est-imation longi-tudinal data-sets set-s
.k anal-ysis change reshape wide long list-s corr-elate corr-elation
.k sort graph-s graph-ing graph-ics ksm lowess statsby
.k stem-andleaf and-leaf and leaf reg-ressions egen summ-ary summ-arize
.k tol-erance pred-ictions gllamm-6 tab-ulate tab-ulations tabl-es
.k hist-ograms life ltable describ-e haz-ards model-s discrete time
.k logit odds fitstat st-set sts st-cox cox test-s test-ing
.k breslow wald like-lihood ratio-s lrtest efron strat-ified
.k multi-level level nonlin-ear non linear cov-ariances structure event
.k occu-rrence gen-erate extend-ed lfit scat-terplots plot-s estat
.k mixed effect-s max-imum ml-e xt-mixed qnorm xi-: rand-om fix-ed
.k applied two-way way xtline discon-tinuities stemplot-s
.x
	2/08	examples from the book ^Applied Longitudinal Data^
		^Analysis: Modeling Change and Event Occurrence^
		by Judith D. Singer and John B. Willett
		@browser:http://www.ats.ucla.edu/stat/stata/examples/alda/!http://www.ats.ucla.edu/stat/stata/examples/alda/@

.e Example
.c faq
.t Textbook examples: An Introduction to Categorical Analysis
.a UCLA Academic Technology Services
.k ucla examp-les book-s agresti
.k stat-istics data-sets set-s manage-ment anal-ysis cat-egorical
.k tabl-es general-ized linear model-s logis-tic reg-ressions conting-ency
.k logit log-s tab-ulate tab-ulations list-s tab-s cs-i cc-i preserve
.k collapse restore recode corr-elate corr-elations egen drop-ped
.k like-lihood ratio-s two-way rbar exactcc-i exact freq-uency freq-uencies
.k weight-s weight-ed weight-ing mantel-haenszel haenszel homog-eneity
.k conn-ections glm sort by lowess pred-ictions poisson resid-uals
.k ipf iter-ative propor-tional fit-ting probit lfit fitstat sampsi
.k gen-erate describ-e pearson-s tab3way tab_chi xi3 prvalue postgr
.k tab-chi tabchi lrtest graph-s graph-ics graph-ing two-way conn-ected
.k line-s xi-: : ologit mcc-i mcnemar-s clogit cond-itional order-ed ordinal
.k cochran-mantel match-ed pair-s test-s test-ing sym-metry est-imates
.k est-imation diff-erences propor-tions case-controls control-s
.k study studies lincom
.x
	9/07	examples from the book ^An Introduction to^
		^Categorical Analysis^ by Alan Agresti
		@browser:http://www.ats.ucla.edu/stat/stata/examples/icda/!http://www.ats.ucla.edu/stat/stata/examples/icda/@

.e Example
.c faq
.t Stata web books:  Regression with Stata
.a Chen, Ender, Mitchell & Wells (UCLA Academic Technology Services)
.k ucla examp-les book-s chen ender mitchell wells data-sets set-s manage-ment
.k stat-istics util-ity graph-s graph-ics graph-ing use sav-ed mkdir cd count-s
.k reg-ressions summ-arize describ-e descrip-tions descrip-tive var-iables
.k obs-ervations list-s codebook code-s book-s tab-ulate tab-ulations plot-s
.k hist-ograms box-plots box and whisker scat-terplots vif stem stem-andleaf
.k and-leaf and leaf matr-ix matr-ices pred-ictions
.k net from web-sites site-s www internet
.k file-s instal-lation resid-uals beta coef-ficients test-s test-ing pwcorr
.k corr-elate corr-elations norm-ality distrib-utions kdensity kern-el dens-ity
.k symplot sym-metry qnorm quantile-s pnorm prob-ability ladder gladder power-s
.k transfo-rmations gen-erate stud-entized lever-age lvr2plot dfit-s cook-sd d
.k dfbeta-s avplot-s add-ed swilk shapiro-wilk wilk rvfplot fit-ted versus vs
.k hettest hetero-skedasticity hetero-scedasticity collinear-ity acprplot
.k compon-ents plus augment-ed linear link-test specifica-tion ovtest omit-ted
.k reset dwstat durb-in watson ttest t-tests mean-s anova anal-ysis variance-s
.k dum-my dum-mies cat-egorical indica-tor xi char charac-teristics separ-ate
.k anocova ancova cov-ariances adjust-ed robust clus-tering clus-ters rreg
.k qreg med-ians testparm constrain-ed constrain-ts cnsreg censor-ing censor-ed
.k tobit truncreg trun-cated eivreg err-ors in sureg seemingly unrel-ated sur-e
.k mvreg multiv-ariate multicol-linearity mult-iple ols model-s
.k helmert orthog-onal poly-nomials reference category categories
.k deviation contrast-s diff-erences bsqreg iqr iqreg sqreg indep-endent
.k ordinary least sq-uares simple list-coef diagnos-tics indep-endence
.k homosce-dasticity homoske-dasticity homog-eneity outlier-s hilo
.k white-tst xi3 sme forw-ard coding backward reverse-d slope effect-s
.k continu-ous postgr3 style-s line-s patt-erns
.k prefix lincom pred-ictor pred-icted xi-: by-sort sort by: : command-s
.k outcome-s value-s two-way way pair-wise casewise delete deletion
.k influ-ence rvpplot stemplot-s
.x
	6/07	web book ^Regression with Stata^ by (in alphabetical
		order) Xiao Chen, Philip B. Ender, Michael Mitchell
		& Christine Wells
		@browser:http://www.ats.ucla.edu/stat/stata/webbooks/reg/default.htm!http://www.ats.ucla.edu/stat/stata/webbooks/reg/@

.e Example
.c faq
.t Textbook examples:  Intro Multilevel Modeling
.a UCLA Academic Technology Services
.k ucla examp-les book-s kreft de-leeuw leeuw stat-istics
.k multi-level level model-s model-ing contextual model-s vary-ing rand-om
.k coef-ficients anal-ysis anal-yses statsby corr-elate corr-elations
.k aggregate reg-ressions cron-bachs gllamm xt-mixed mixed effect-s
.k ml max-imum like-lihood reml em optimi-zation
.x
	4/07	examples from the book ^Intro Multilevel Modeling^
		by Kreft & de Leeuw
		@browser:http://www.ats.ucla.edu/stat/stata/examples/mlm_imm/default.htm!http://www.ats.ucla.edu/stat/stata/examples/mlm_imm/@

.e Example
.c faq
.t Textbook examples: Multilevel Analysis: Techniques and Applications
.a UCLA Academic Technology Services
.k ucla examp-les book-s hox
.k stat-istics multi-level level reg-ressions model-s anal-ysis longi-tudinal
.k gllamm-6 log-s like-lihood gen-erate egen qnorm
.k graph-s graph-ing graph-ics collapse sort serrbar label-s cross
.k rand-om fix-ed effect-s tabl-es variance-s cov-ariances meta metareg
.k xt-mixed mixed
.x
	3/07	examples from the book ^Multilevel Analysis:^
		^Techniques and Applications^ by Joop Hox
		@browser:http://www.ats.ucla.edu/stat/stata/examples/mlm_ma_hox/default.htm!http://www.ats.ucla.edu/stat/stata/examples/mlm_ma_hox/@

.e Example
.c faq
.t Stata web books:  Logistic Regression with Stata
.a Chen, Ender, Mitchell & Wells (UCLA Academic Technology Services)
.k ucla examp-les book-s chen ender mitchell wells data-sets set-s manage-ment
.k stat-istics logis-tic reg-ressions anal-ysis cat-egorical var-iables
.k multin-omial pred-ictions pred-ictors pred-icted
.k net from web-sites site-s www internet
.k instal-lation coef-ficients ordinary least sq-uares ols logit xi
.k like-lihood ratio-s test-s lrtest model-s odd-s est-imates adjust-ed
.k prob-ability prob-abilities main effect-s interact-ions continu-ous
.k graph-s graph-ics graph-ing separ-ate two-way way line-s plot-s linear
.k command-s
.x
	9/06	web book ^Logistic Regression with Stata^ by (in
		alphabetical order) Xiao Chen, Philip B. Ender,
		Michael Mitchell & Christine Wells
		@browser:http://www.ats.ucla.edu/stat/stata/webbooks/logistic/default.htm!http://www.ats.ucla.edu/stat/stata/webbooks/logistic/@

.e Example
.c faq
.t Applied Regression Analysis, Linear Models, and Related Methods
.a UCLA Academic Technology Services
.k ucla examp-les book-s fox stat-istics graph-s graph-ics graph-ing ksm rreg
.k reg-ressions smooth-ing robust scat-terplots box-plots plot-s kdensity
.k stem-andleaf and-leaf leaf display-s jitter-ing matr-ix matr-ices mkmat
.k separ-ate tabl-es pred-ictions test-s test-ing testparm summ-arize anova
.k anal-ysis variance-s cov-ariances codebook hat resid-uals stud-entized
.k dfbeta-s cook-sd d avplot-s qnorm cprplot xi dum-my var-iables dum-mies
.k cat-egorical indica-tor box-cox cox vif corr-elate corr-elations corrgram
.k correlo-grams ac autocor-relations nl non linear nonlin-ear qreg quantile-s
.k cross lowess loess logis-tic lrtest like-lihoodratio ratio-s logit mlogit
.k multin-omial polyt-omous ologit ordered egen gen-erate
.k mean-s time-series series gls general-ized least sq-uares sq-uared
.k weight-ed contrast-s stemplot-s
.x
	9/06	examples from the book ^Applied Regression Analysis,^
		^Linear Models, and Related Methods^ by John Fox
		@browser:http://www.ats.ucla.edu/stat/stata/examples/ara/!http://www.ats.ucla.edu/stat/stata/examples/ara/@

.e Example
.c faq
.t Textbook examples:  Regression Analysis by Example, Third Edition
.a UCLA Academic Technology Services
.k ucla examp-les book-s chatterjee hadi price stat-istics reg-ressions list-s
.k graph-s graph-ics graph-ing plot-s scat-terplots egen gen-erate mean-s
.k pred-ictions resid-uals corr-elate corr-elations test-s test-ing cnsreg
.k constrain-ed constrain-ts avplot-s add-ed var-iables cprplot dum-my dum-mies
.k rvfplot rvpplot tab-ulate tab-ulations tab1
.k adjust-ed tabl-es input-ting input-ing
.k data-sets set-s manage-ment dwstat durb-in watson prais-winsten winsten
.k cochrane-orcutt orcut-t autocor-relations matr-ix matr-ices factor-s scor-e
.k princ-ipal compon-ents anal-ysis sw step-wise logit logis-tic dbeta-s hat
.k lever-age deviance lrtest like-lihoodratio ratio-s qualita-tive model-s
.k collinear-ity transfo-rmations weight-ed least sq-uares bias-es
.k two-step step collin two-way linear pca stand-ardized stand-ardised
.k rvpplot2 rvfplot2 one-way freq-uency freq-uencies lfit hinflu-6 hadiplot
.k double-s precis-ion odds pearson-s
.x
	7/06	examples from the book ^Regression Analysis by^
		^Example, Third Edition^ by Samprit Chatterjee,
		Ali S. Hadi & Bertram Price
		@browser:http://www.ats.ucla.edu/stat/stata/examples/chp/!http://www.ats.ucla.edu/stat/stata/examples/chp/@

.e Example
.c faq
.t Applied Survival Analysis: Regression Modeling of Time to Event Data
.a UCLA Academic Technology Services
.k ucla examp-les book-s hosmer lemeshow stat-istics graph-s graph-ics
.k graph-ing data-sets set-s manage-ment separ-ate list-s plot-s scat-terplots
.k ereg streg reg-ressions exp-onential surviv-al time model-s st-set
.k pred-ictions date-s
.k hilite highl-ight input-ting input-ing sts ltable life tabl-es stsum st-ci
.k summ-arize summ-ary conf-idence interv-als test-s test-ing gen-erate nelson
.k aalen haz-ards func-tions surviv-or ksm st-cox cox lrtest like-lihoodratio
.k ratio-s recode tab-ulate tab-ulations xi fracpoly frac-tional poly-nomials
.k fracpred fracgen martingale resid-uals smooth-ing lowess loess box-plots
.k weib-ull mkmat svmat matr-ix matr-ices llogist-ic log-logistic logis-tic
.k breslow xi-3 kaplan-meier meier tarone ware tware peto wilcox-on stsplit
.k split glm censor-ing censor-ed count-s estat phtest schoenfeld smooth-ers
.k mean-s run-ning applied anal-ysis descrip-tive describ-e descrip-tions
.k meth-ods rank-s equal-ity peto-peto two-way way
.x
	5/06	examples from the book ^Applied Survival Analysis:^
		^Regression Modeling of Time to Event Data^
		by David W. Hosmer, Jr. and Stanley Lemeshow
		@browser:http://www.ats.ucla.edu/stat/stata/examples/asa/!http://www.ats.ucla.edu/stat/stata/examples/asa/@

.e Example
.c faq
.t Design and Analysis: A Researcher's Handbook Third Edition
.a UCLA Academic Technology Services
.k ucla examp-les book-s keppel stat-istics anova anal-ysis variance-s model-s
.k anocova ancova cov-ariances design-s recode trend factori-al contrast-s
.k adjust-ed tabl-es repeat-ed meas-ures within ratio-s est-imates
.k sensitiv-ity size power-s treat-ments trend
.k test-s test-ing reg-ressions xi-2 omega-2 main effect-s fail-ure
.k interact-ions two-way continu-ous var-iables mean-s homog-eneity
.k contrast-s simple sme char charac-teristics one-way scor-e scor-ing
.k greenhouse-geisser geisser huynh-feldt feldt box eps-ilon df degree-s of
.k freedom quad-ratic linear cub-ic f t xi-3 way t-tests factor-s
.k exper-iments exper-imental compar-e compar-isons value-s intrest-s
.k orthog-onal
.x
	4/06	examples from the book ^Design and Analysis: A^
		^Researcher's Handbook Third Edition^ by Geoffrey Keppel
		@browser:http://www.ats.ucla.edu/stat/stata/examples/da!http://www.ats.ucla.edu/stat/stata/examples/da/@

.e Example
.c faq
.t Practical Methods for Design & Analysis of Complex Surveys, 2nd Ed.
.a UCLA Academic Technology Services
.k ucla examp-les book-s lehtonen pahkinen
.k samp-les samp-ling survey-s svy-: : svyset set-s total-s
.k est-imates est-imation ratio-s rand-om anal-ysis fpc pop-ulations
.k correct-ion weight-s weight-ed weight-ing pw-eights
.k design-s psu strat-a strat-ified meth-ods complex two-stage stage
.k clus-ters linear reg-ressions est-imators estat effect-s
.x
	3/06	examples from the book ^Practical Methods for^
		^Design & Analysis of Complex Surveys, Second^
		^Edition^ by Risto Lehtonen and Erkki Pahkinen
		@browser:http://www.ats.ucla.edu/stat/stata/examples/svy_pmdacs/default.htm!http://www.ats.ucla.edu/stat/stata/examples/svy_pmdacs/@

.e Example
.c faq
.t Textbook examples: Elementary Survey Sampling, 5th Edition
.a UCLA Academic Technology Services
.k ucla examp-les book-s scheaffer mendenhall ott
.k stat-istics survey-s samp-les samp-ling simple strat-ified strat-a ratio-s
.k reg-ressions diff-erences est-imates est-imation clus-ters
.k pop-ulations size rename label-s destring hist-ograms
.k stem-andleaf and-leaf and leaf graph-s graph-ics graph-ing
.k box-plots whisker hbox horizont-ally tabstat
.k two-way tab-s tab-ulate tab-ulations list-s drop-ped sort by
.k mean-s svy-: : total-s pw-eights psu display gen-erate scat-terplots plot-s
.k corr-elate corr-elations anova r-squared sq-uared r-2 2
.k infix infile set-s data-sets manage-ment compress stage
.k rand-om bin-s over lfit encode estat effect-s axis axes stemplot-s
.x
	10/05	examples from the book ^Elementary Survey Sampling,^
		^Fifth Edition^ by Richard Scheaffer, William
		Mendenhall, & Lyman Ott
		@browser:http://www.ats.ucla.edu/stat/stata/examples/ess5/!http://www.ats.ucla.edu/stat/stata/examples/ess5/@

.e Example
.c faq
.t Textbook Examples:  Methods Matter:  Improving Causal Inference
.a UCLA Academic Technology Services
.k ucla examp-les book-s murnane willett stat-istics meth-ods caus-al
.k infer-ence rand-omized exper-iments clus-ters clus-tering reg-ressions
.k discon-tinuities instrum-ental var-iables est-imates est-imation
.k treat-ments effect-s quasi exper-iments bias-ed
.x
	11/10	examples from the book ^Methods Matter: Improving Causal^
		^Inference in Educational and Social Science Research^
		by Richard J. Murnane and John B. Willett
		@browser:http://www.ats.ucla.edu/stat/examples/methods_matter/default.htm!http://www.ats.ucla.edu/stat/examples/methods_matter/@
		@browser:http://www.ats.ucla.edu/stat/examples/methods_matter/default.htm!default.htm@

.e Example
.c faq
.t Textbook Examples:  Econometric Analysis, Fourth Edition
.a UCLA Academic Technology Services
.k ucla examp-les book-s greene stat-istics reg-ressions robust rvpplot plot-s
.k graph-s graph-ics graph-ing resid-uals versus vs pred-ictor pred-ictions
.k matr-ix matr-ices xt-reg cross section-al time-series series panel-s lincom
.k linear comb-inations fix-ed rand-om effect-s model-s stage least sq-uares
.k reg3 xt-regar ar autoregr-essive autocor-related autocor-relations iv-reg
.k instrum-ental var-iables two 2sls three 3sls endog-enous exog-enous logit
.k logis-tic mfx marginal accum-ulate probit ml-e prog-ramming prog-rams
.k max-imum like-lihood max-imization max-imize hetprob hetero-scedasticity
.k hetero-skedasticity nlogit-gen nlogittree nest-ed nest-ing poisson clogit
.k cond-itional constrain-ed constrain-ts lrtest like-lihoodratio ratio-s
.k test-s test-ing poisgof discrete depend-ent limit-s limit-ed info-rmation
.k simult-aneous eq-uations data-sets set-s regh reghv white-tst breusch
.k pagan bpagan mean-s ivg-mm0
.k two-way two-stage scat-terplots
.x
	10/05	examples from the book ^Econometric Analysis, Fourth^
		^Edition^ by William Greene
		@browser:http://www.ats.ucla.edu/stat/examples/greene/!http://www.ats.ucla.edu/stat/examples/greene/@

.e Example
.c faq
.t Textbook examples: Computer-Aided Multivariate Analysis, Fourth Ed
.a UCLA Academic Technology Services
.k ucla examp-les book-s afifi clark
.k stat-istics est-imates est-imation like-lihood ratio-s multiv-ariate
.k anal-ysis linear reg-ressions corr-elate corr-elations mult-iple
.k simple canon-ical logis-tic surviv-al xi-2 xi3
.k princ-ipal compon-ents factor-s clus-ters
.k log-linear sets-s data-sets gen-erate pred-ictions centroid-linkage
.k graph-s graph-ing graph-ics summ-ary summ-arize qnorm cov-ariances
.k reshape drop-ped tabstat eigen-vectors eigen-values greigen sort by
.k comb-inations propor-tional discrim-inant scat-terplots func-tions
.k matr-ix matr-ices coef-ficients stand-ardized stand-ardised
.k logit tab-s st-set
.k streg stcox cox fit-ting weib-ull breslow rotate two-way separ-ate
.k tabl-es rename recode pearson-s general-lized model-s glm lrtest
.k poisson freq-uency freq-uencies weight-s weight-ed weight-ing
.k cancor ltable stset sts lsens
.k tab-ulate tab-ulations tab-chi tabchi test-s test-ing
.k estat load-ings beta xi-: : line-s clust-ers clust-ering tree-s
.k rotate orthog-onal obliq-ue horst norm-ality norm-alized
.k norm-alization kaplan-meier meier receiver operating charac-teristics
.k lroc roc curv-es area dicho-tomous chi-2 2 chi-2tail kaiser
.x
	10/05	examples from the book ^Computer-Aided Multivariate^
		^Analysis, 4th Edition^ by A. A. Afifi, V. Clark and
		S. May
		@browser:http://www.ats.ucla.edu/stat/stata/examples/cama4/!http://www.ats.ucla.edu/stat/stata/examples/cama4/@

.e Example
.c faq
.t Textbook examples: Sampling: Design and Analysis
.a UCLA Academic Technology Services
.k ucla book-s lohr design-s
.k simple prob-ability ratio-s clus-ters anal-ysis
.k stat-istics est-imates est-imation linear reg-ressions
.k samp-les samp-ling survey-s strat-ified strata complex
.k variance-s cat-egorical data-sets set-s manage-ment svy-: :
.k mean-s svyset svydes-cribe graph-ics graph-s graph-ing
.k scat-terplots plot-s tabstat two-way box-plots hist-ograms
.k total-s anova estat effect-s tab-s tab-ulate tab-ulations
.x
	4/05	examples from the book ^Sampling: Design and^
		^Analysis^ by Sharon L. Lohr
		@browser:http://www.ats.ucla.edu/stat/stata/examples/lohr/!http://www.ats.ucla.edu/stat/stata/examples/lohr/@

.e Example
.c faq
.t Textbook examples:  Regression with Graphics
.a UCLA Academic Technology Services
.k ucla examp-les book-s hamilton stat-istics graph-s graph-ics graph-ing
.k reg-ressions summ-arize hist-ograms box-plots and whisker plot-s symplot
.k sym-metry quantile-s qqplot qnorm norm-ality scat-terplots pred-ictions
.k resid-uals rvfplot fit-ted versus vs label-s test-s test-ing recode dfbeta-s
.k corr-elations corr-elate ac correlo-grams autocor-relations avplot-s add-ed
.k var-iables vif nl non linear nonlin-ear vce gompertz rreg robust lever-age
.k egen gen-erate list-s qreg logis-tic logit factor-s anal-ysis greigen
.k princ-ipal compon-ents eigen-values eigen-vectors rotate rotation-s promax
.k scree-plot varimax scor-e scor-ing
.x
	2/05	examples from the book ^Regression with Graphics^ by
		Lawrence Hamilton
		@browser:http://www.ats.ucla.edu/stat/stata/examples/rwg/!http://www.ats.ucla.edu/stat/stata/examples/rwg/@

.e Example
.c faq
.t Textbook examples:  Introduction to the Practice of Statistics
.a UCLA Academic Technology Services
.k ucla examp-les book-s moore mccabe stat-istics graph-s graph-ics graph-ing
.k list-s hist-ograms qnorm stem-andleaf and-leaf and leaf display-s summ-arize
.k box-plots plot-s qnorm kdensity scat-terplots data-sets set-s manage-ment
.k input-ting input-ing use egen gen-erate reg-ressions pred-ictions bitest-i
.k binom-ial test-s test-ing bs boot-strapped ci-i conf-idence interv-als ir-i
.k mean-s ttest-i t-tests drop resid-uals pwcorr corr-elations corr-elate tab1
.k tab-ulate tab-ulations
.k scor-es scor-ing two-way med-ians prtest-i propor-tions
.k samp-les samp-ling one-way signif-icance head-s stemplot-s
.x
	2/05	examples from the book ^Introduction to the Practice^
		^of Statistics^ by David Moore and George McCabe
		@browser:http://www.ats.ucla.edu/stat/stata/examples/mm/!http://www.ats.ucla.edu/stat/stata/examples/mm/@

.e Example
.c faq
.t Textbook examples: Statistical Methods for the Social Sciences
.a UCLA Academic Technology Services
.k ucla examp-les book-s agresti finley ztable zdemo-2 ztail zcalc
.k freq-uency freq-uencies distrib-utions stat-istics meth-ods tabl-es
.k tab-ulate tab-ulations summ-ary summ-arize graph-s graph-ing graph-ics
.k prob-ability infer-ence est-imates est-imation boot-strapped
.k signif-icance test-s test-ing samp-les samp-ling
.k mean-s ci-i prtest-i ttest-i sampsi mcc-i mcnemar-s reg-ressions
.k pred-ictions corr-elate pwcorr display list-s sort
.k stem-andleaf and-leaf and leaf sq-uares sq-uared bs set-s data-sets
.k interquart-ile quartile-s range propor-tions conf-idence interv-als
.k tabstat scat-terplots plot-s two-way by by-sort
.x
	2/05	examples from the book ^Statistical Methods for the^
		^Social Sciences^ by Alan Agresti and Barbara Finlay
		@browser:http://www.ats.ucla.edu/stat/examples/smss/!http://www.ats.ucla.edu/stat/examples/smss/@

.e Example
.c faq
.t Textbook examples:  Introductory Econometrics: A Modern Approach
.a Oleksandr Talavera (Boston College Grad. Stat. Assistant Program)
.k ucla boston examp-les book-s wooldridge stat-istics summ-arize reg-ressions
.k pred-ictions list-s display _b resid-uals gen-erate replace lincom linear
.k comb-inations robust scal-ars
.x
	11/02	examples from the book ^Introductory Econometrics: A^
		^Modern Approach^ by Jeffrey M. Wooldridge
		@browser:http://fmwww.bc.edu/gstat/examples/wooldridge/wooldridge.html!http://fmwww.bc.edu/gstat/examples/wooldridge/wooldridge.html@

.e Example
.c faq
.t Data analysis examples: Zero-inflated negative binomial regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k examp-les zero inflated neg-ative binom-ial reg-ressions zinb
.k pred-ictions pred-icted prob-ability prob-abilities pseudo-rsquared
.k r-squared r-2 sq-uared vuong test-s robust stand-ard err-ors prchange
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/zinb.htm!http://www.ats.ucla.edu/stat/stata/dae/zinb.htm@

.e Example
.c faq
.t Data analysis examples: Multiple regression power analysis
.a UCLA Academic Technology Services
.k ucla stat-istics examp-les
.k mult-iple reg-ressions power anal-ysis samp-les samp-ling size powerreg
.k bonfer-ronis
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/powerreg.htm!http://www.ats.ucla.edu/stat/stata/dae/powerreg.htm@

.e Example
.c faq
.t Data analysis examples: Logistic regression power analysis
.a UCLA Academic Technology Services
.k ucla anal-ysis stat-istics examp-les
.k logis-tic reg-ressions power logit powerlog prob-abilities prob-ability
.k samp-les samp-ling size
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/logit_power.htm!http://www.ats.ucla.edu/stat/stata/dae/logit_power.htm@

.e Example
.c faq
.t Data analysis examples: Power analysis for one-sample t-test
.a UCLA Academic Technology Services
.k ucla anal-ysis stat-istics examp-les
.k power t-tests test-s sampsi one samp-les size stand-ard dev-iations
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/t_test_power.htm!http://www.ats.ucla.edu/stat/stata/dae/t_test_power.htm@

.e Example
.c faq
.t Data analysis examples: Power analysis for paired sample t-test
.a UCLA Academic Technology Services
.k ucla anal-ysis stat-istics examp-les
.k power t-tests test-s sampsi samp-les size mean-s pair-s pair-ed depend-ent
.k mean-s stand-ard dev-iations sd hyp-othesis hyp-otheses
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/t_test_power3.htm!http://www.ats.ucla.edu/stat/stata/dae/t_test_power3.htm@

.e Example
.c faq
.t Data analysis examples: Multivariate regression analysis
.a UCLA Academic Technology Services
.k ucla stat-istics
.k examp-les multiv-ariate reg-ressions anal-ysis mult-iple manova mvreg
.k variance-s test-s estout
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/mvreg.htm!http://www.ats.ucla.edu/stat/stata/dae/mvreg.htm@

.e Example
.c faq
.t Data analysis examples: Canonical correlation analysis
.a UCLA Academic Technology Services
.k ucla stat-istics
.k examp-les canon-ical corr-elations corr-elate anal-ysis coef-ficients
.k stand-ard err-ors wald test-s test-ing multiv-ariate dimen-sional
.k dim-ensions estat load-ings
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/canonical.htm!http://www.ats.ucla.edu/stat/stata/dae/canonical.htm@

.e Example
.c faq
.t Data analysis examples: Discriminant function analysis
.a UCLA Academic Technology Services
.k ucla stat-istics
.k examp-les discrim-inant func-tions anal-ysis candisc lda
.k linear stand-ardized stand-ardization coef-ficients canon-ical load-ings
.k score-plot plot-s graph-s graph-ics graph-ing loading-plot
.k corr-elations dimen-sional loading-plot
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/discrim.htm!http://www.ats.ucla.edu/stat/stata/dae/discrim.htm@

.e Example
.c faq
.t Data analysis examples: One-way ^manova^
.a UCLA Academic Technology Services
.k ucla stat-istics
.k examp-les one-way way manova canon-ical corr-elate corr-elations anal-ysis
.k multiv-ariate anova variance-s manovatest
.k post-hoc hoc test-s test-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/manova1.htm!http://www.ats.ucla.edu/stat/stata/dae/manova1.htm@

.e Example
.c faq
.t Data analysis examples: Poisson regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k examp-les poisson reg-ressions anal-ysis robust stand-ard err-ors wald
.k chi-squared sq-uared chi-2 2 prchange pred-icted prob-ability
.k prob-abilities estout
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/poissonreg.htm!http://www.ats.ucla.edu/stat/stata/dae/poissonreg.htm@

.e Example
.c faq
.t Data analysis examples: Negative binomial regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k examp-les neg-ative binom-ial reg-ressions nbreg robust stand-ard err-ors
.k chi-squared sq-uared chi-2 2 wald prchange pred-icted prob-ability
.k prob-abilities estout robust stand-ard err-ors std change
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/nbreg.htm!http://www.ats.ucla.edu/stat/stata/dae/nbreg.htm@

.e Example
.c faq
.t Data analysis examples: Zero-inflated Poisson regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k examp-les zero inflated poisson reg-ressions zip prob-ability
.k prob-abilities pseudo-rsquared r-squared r-2 sq-uared vuong test-s
.k robust stand-ard err-ors prchange estout
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/zip.htm!http://www.ats.ucla.edu/stat/stata/dae/zip.htm@

.e Example
.c faq
.t Data analysis examples: Zero-truncated poisson
.a UCLA Academic Technology Services
.k ucla anal-ysis examp-les stat-istics
.k zero-s trun-cated poisson reg-ressions model-s ztp robust incid-ence rate-s
.k ratio-s irr-s stand-ard err-ors std chi-squared sq-uared chi-2 2 estout
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/ztp.htm!http://www.ats.ucla.edu/stat/stata/dae/ztp.htm@

.e Example
.c faq
.t Data analysis examples: Zero-truncated negative binomial
.a UCLA Academic Technology Services
.k ucla anal-ysis examp-les stat-istics
.k zero-s trun-cated neg-ative binom-ial reg-ressions model-s ztnb ztp
.k robust coef-ficients irr-s incid-ence ratio-s rate-s estout like-lihood
.k chi-squared sq-uared chi-2 2 pseudo-rsquared r-squared r-2
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/ztnb.htm!http://www.ats.ucla.edu/stat/stata/dae/ztnb.htm@

.e Example
.c faq
.t Data analysis examples: Tobit analysis
.a UCLA Academic Technology Services
.k ucla stat-istics examp-les tobit anal-ysis right censor-ed censor-ing left
.k hist-ograms corr-elations corr-elate graph-s graph-ics plot-s mcfadden-s
.k pseudo-rsquared r-2 2 sq-uared pred-ictions pred-icted obs-erved value-s
.k fitstat estout spostado
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/tobit.htm!http://www.ats.ucla.edu/stat/stata/dae/tobit.htm@

.e Example
.c faq
.t Data analysis examples: Interval regression
.a UCLA Academic Technology Services
.k ucla stat-istics examp-les interv-al reg-ressions general-ized
.k censor-ed censor-ing left right hist-ograms corr-elate corr-elations
.k graph-s graph-ics plot-s matr-ix tobit anal-ysis intreg robust huber-white
.k white stand-ard err-ors r sq-uared fitstat estout
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/intreg.htm!http://www.ats.ucla.edu/stat/stata/dae/intreg.htm@

.e Example
.c faq
.t Data analysis examples: Truncated regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k examp-les trunc-ated reg-ressions anal-ysis left right robust stand-ard
.k err-ors wald chi-squared sq-uared chi-2 2 degree-s freedom df
.k pseudo-likelihoods like-lihood estout truncreg
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/truncreg.htm!http://www.ats.ucla.edu/stat/stata/dae/truncreg.htm@

.e Example
.c faq
.t Data analysis examples: Exact logistic regression
.a UCLA Academic Technology Services
.k ucla stat-istics examp-les
.k exact logis-tic reg-ressions data-sets set-s anal-ysis blogit exlogistic
.k coef-ficients est-imates est-imation
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/exlogit.htm!http://www.ats.ucla.edu/stat/stata/dae/exlogit.htm@

.e Example
.c faq
.t Data analysis ex: Power analysis for two-group indep. sample t-test
.a UCLA Academic Technology Services
.k ucla anal-ysis stat-istics examp-les
.k power t-tests test-s sampsi samp-les size mean-s two-group group-s
.k indep-endent
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/t_test_power2.htm!http://www.ats.ucla.edu/stat/stata/dae/t_test_power2.htm@

.e Example
.c faq
.t Data analysis examples: Robust regression
.a UCLA Academic Technology Services
.k ucla anal-ysis examp-les stat-istics
.k examp-les robust reg-ressions diagnos-tics data point-s resid-uals
.k outlier-s lever-age influ-ence weight-ed weight-s least sq-uares huber
.k lvr2plot pred-ictions rreg linear biweight-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/rreg.htm!http://www.ats.ucla.edu/stat/stata/dae/rreg.htm@

.e Example
.c faq
.t Data analysis examples: Probit regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k examp-les probit reg-ressions logit cell-s pseudo-rsquared r r-2 2
.k sq-uared non-linear linear prtab prvalue pred-icted prob-ability
.k prob-abilities spost spostado estout
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/probit.htm!http://www.ats.ucla.edu/stat/stata/dae/probit.htm@

.e Example
.c faq
.t Data analysis examples: Ordinal logistic regression
.a UCLA Academic Technology Services
.k ucla examp-les ordinal logis-tic reg-ressions 5-point five-point point
.k likert scale-s ols ordinary least sq-uares anova anal-ysis of variance-s
.k continu-ous pred-ictor multin-omial probit pseudo-rsquared r sq-uared
.k cutpoints odd-s ratio-s or ologit listcoef spost like-lihood test-s test-ing
.k brant omodel pred-icted pred-ictions prob-ability prob-abilities prtab
.k prvalue estout tabl-es result-s order-ed logit log-s gologit gologit2
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/ologit.htm!http://www.ats.ucla.edu/stat/stata/dae/ologit.htm@

.e Example
.c faq
.t Data analysis examples: Multinomial logit regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k examp-les multin-omial logit reg-ressions anal-ysis logis-tic
.k base cat-egory compar-isons group-s mlogit relativ-e risk-s prtab estout
.k listcoef prob-ability prob-abilities rrr ratio-s result-s spost spostado
.k pred-icted
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/mlogit.htm!http://www.ats.ucla.edu/stat/stata/dae/mlogit.htm@

.e Example
.c faq
.t Data analysis examples: Logit regression
.a UCLA Academic Technology Services
.k ucla examp-les logit reg-ressions stand-ard err-ors z stat-istics wald
.k conf-idence interv-als coef-ficients odd-s ratio-s
.k pred-ictions pred-icted prob-ability prob-abilities prtab prvalue estout
.k tabl-es result-s spost spostado
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/logit.htm!http://www.ats.ucla.edu/stat/stata/dae/logit.htm@

.e Example
.c faq
.t Data analysis examples: Two independent proportions power analysis
.a UCLA Academic Technology Services
.k ucla anal-ysis stat-istics examp-les
.k indep-endent propor-tions power chi-squared sq-uared chi-2 2 stat-istics
.k logis-tic reg-ressions sampsi samp-les size
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/proportionpow.htm!http://www.ats.ucla.edu/stat/stata/dae/proportionpow.htm@

.e Example
.c faq
.t Data analysis examples: One-way anova power analysis
.a UCLA Academic Technology Services
.k ucla stat-istics examp-les
.k anal-ysis variance-s one-way way power anova fpower monte carlo
.k simul-ations simpower samp-les size mean-s stand-ard dev-iations sd std
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/fpower.htm!http://www.ats.ucla.edu/stat/stata/dae/fpower.htm@

.e Example
.c faq
.t Data analysis examples: Accuracy in parameter estimation
.a UCLA Academic Technology Services
.k ucla stat-istics examp-les
.k accur-acy param-eters est-imation est-imates aipe samp-les samp-ling
.k size conf-idence interv-als
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/dae/aipe.htm!http://www.ats.ucla.edu/stat/stata/dae/aipe.htm@

.e Example
.c faq
.t Stata Starter Kit
.a UCLA Academic Technology Services
.k ucla
.k faq-s frequent-ly asked question-s
.k class note-s movie-s book-s stat-istics anal-ysis reg-ressions
.k output-ting output-ing annot-ations instal-ling instal-lation
.k custom-ize custom-izing upd-ates data-sets set-s manage-ment
.k graph-ics graph-s graph-ing multiv-ariate variance-s reg-ressions
.k linear model-s meth-ods logis-tic logit
.x
	2/05	classroom notes, textbook examples, learning modules,
		and links to FAQs for Stata and basic statistics
		@browser:http://www.ats.ucla.edu/stat/stata/sk/!http://www.ats.ucla.edu/stat/stata/sk/@

.e Example
.c faq
.t Stata Analysis Tools: Parallel coordinate plots
.a UCLA Academic Technology Services
.k ucla anal-ysis tool-s parallel-ized coor-dinates plot-s
.k parcoord paral-lel parcord2 graph-s graph-ics graph-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/analysis/parcord2.htm!http://www.ats.ucla.edu/stat/ado/analysis/parcord2.html@

.e Example
.c faq
.t Stata Analysis Tools: Anova power simulation
.a UCLA Academic Technology Services
.k ucla stat-istics anal-ysis tool-s anova anal-ysis of variance-s power
.k simul-ations simpower monte carlo samp-les samp-ling size mean-s sd std
.k stand-ard dev-iations
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/analysis/simpower.htm!http://www.ats.ucla.edu/stat/ado/analysis/simpower.html@

.e Example
.c faq
.t Stata Analysis Tools: Weighted Least Squares Regression
.a UCLA Academic Technology Services
.k ucla stat-istics
.k weight-ed least sq-uares reg-ressions hetero-scedasticity plot-s
.k hetero-skedasticity wls0 rvpplot resid-uals graph-s graph-ics graph-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/analysis/wls0.htm!http://www.ats.ucla.edu/stat/stata/ado/analysis/wls0.htm@

.e Example
.c faq
.t Stata Teaching Tools: Probability tables
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing prob-ability tabl-es value-s chi-squared
.k sq-uared chi-2 2distrib-utions probtabl ftable ttable ztable
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/probtabl.htm!http://www.ats.ucla.edu/stat/ado/teach/probtabl.html@

.e Example
.c faq
.t Stata Teaching Tools: t-distribution
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing t distrib-utions degree-s freedom df tdemo
.k graph-s graph-ing graph-ics
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/tdemo.htm!http://www.ats.ucla.edu/stat/ado/teach/tdemo.html@

.e Example
.c faq
.t Stata Teaching Tools: F-distribution
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing f distrib-utions degree-s freedom df fdemo
.k graph-s graph-ing graph-ics
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/fdemo.htm!http://www.ats.ucla.edu/stat/ado/teach/fdemo.html@

.e Example
.c faq
.t Stata Teaching Tools: Confidence interval demonstration
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing conf-idence interv-als ci-s cidemo sample-s
.k samp-ling size
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/cidemo.htm!http://www.ats.ucla.edu/stat/ado/teach/cidemo.html@

.e Example
.c faq
.t Stata Teaching Tools: Sampling mean distribution
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing samp-les samp-ling mean-s distrib-utions size
.k sdmdemo graph-s graph-ing graph-ics
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/sdmdemo.htm!http://www.ats.ucla.edu/stat/ado/teach/sdmdemo.html@

.e Example
.c faq
.t Stata Teaching Tools: Mean point
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing samp-les samp-ling mean-s size point-s value-s
.k meanpt mov-ing change graph-s graph-ing graph-ics
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/meanpt.htm!http://www.ats.ucla.edu/stat/ado/teach/meanpt.html@

.e Example
.c faq
.t Stata Teaching Tools: Central limit theorem
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing central limit-s theory clt distrib-utions
.k graph-s graph-ing graph-ics
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/clt.htm!http://www.ats.ucla.edu/stat/ado/teach/clt.html@

.e Example
.c faq
.t Stata Teaching Tools: Box model simulation
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing box-es model-s simul-ations bxmodel
.k prob-abilities samp-les samp-ling prob-ability
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/bxmodel.htm!http://www.ats.ucla.edu/stat/ado/teach/bxmodel.html@

.e Example
.c faq
.t Stata Teaching Tools: Dice-rolling simulation
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing dice roll-ing: simul-ations freq-uency
.k distrib-utions graph-s graph-ing graph-ics hist-ograms
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/dice.htm!http://www.ats.ucla.edu/stat/ado/teach/dice.html@

.e Example
.c faq
.t Stata Teaching Tools: Card playing simulation
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing card-s simul-ations prob-abilities prob-ability
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/cards.htm!http://www.ats.ucla.edu/stat/ado/teach/cards.html@

.e Example
.c faq
.t Stata Teaching Tools: Coin-tossing simulation
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing coin-s simul-ations prob-abilities prob-ability
.k head-s tail
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/heads.htm!http://www.ats.ucla.edu/stat/ado/teach/heads.html@

.e Example
.c faq
.t Stata Teaching Tools: Chi-squared distribution
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing chi-squared sq-uared chi-2 2 distrib-utions
.k chidemo degree-s freedom df
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/chidemo.htm!http://www.ats.ucla.edu/stat/ado/teach/chidemo.html@

.e Example
.c faq
.t Stata Teaching Tools: Matrix of squared correlation coefficients
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing matr-ix matr-ices sq-uared 2 corr-elations
.k coef-ficients corr-sq
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/corrsq.htm!http://www.ats.ucla.edu/stat/ado/teach/corrsq.html@

.e Example
.c faq
.t Stata Teaching Tools: z-distribution
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing distrib-utions z-tail tail
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/ztail.htm!http://www.ats.ucla.edu/stat/ado/teach/ztail.html@

.e Example
.c faq
.t Stata Teaching Tools: z-distribution
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing distrib-utions zdemo
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/zdemo.htm!http://www.ats.ucla.edu/stat/ado/teach/zdemo.html@

.e Example
.c faq
.t Stata Teaching Tools: Two normal distributions
.a UCLA Academic Technology Services
.k ucla stat-istics teach-ing distrib-utions two 2 norm-al
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/teach/zdemo2.htm!http://www.ats.ucla.edu/stat/ado/teach/zdemo2.html@

.e Example
.c faq
.t Useful non-UCLA Stata programs
.a UCLA Academic Technology Services
.k ucla
.k anova anal-ysis of variance-s anovaplot plot-s prcomp compar-e compar-isons
.k pair-wise corr-elations reg-ressions indexplot index regmsng mult-iple
.k logis-tic poisson neg-ative binom-ial general-ized order-ed logit
.k mean-score scor-e predcalc pred-icted value-s spostado labedit win-dows
.k mac-intosh edit-or label-s labutil estout ice nmissing npresent miss-ing
.k nonmiss-ing outreg univar-iate
.k box-tidwell tidwell boxtid survey-s svy anal-ysis data-sets set-s
.k manage-ment labedit listblck block-s labutil gllamm gologit survwgt
.k samp-les samp-ling weight-ed weight-s weight-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/ado/world/default.htm!http://www.ats.ucla.edu/stat/ado/world/@

.e Example
.c faq
.t Stata utility programs
.a UCLA Academic Technology Services
.k ucla
.k util-ity prog-rams prog-ramming download-ing instal-lation get
.k web-sites site-s www net internet atsinst compado copypkg didyouknow makehlp
.x
	11/07	@browser:http://www.ats.ucla.edu/stat/stata/ado/util/default.htm!http://www.ats.ucla.edu/stat/ado/util/@

.e Example
.c faq
.t Stata tools for LaTeX: Stata Journal Style
.a UCLA Academic Technology Services
.k ucla
.k tex latex util-ity format-s format-ting journal-s sj-s tsj-s stata
.k graph-s graph-ics graph-ing log logtype type-s output-ting output-ing
.k sjlatex sjlog miktex style-s instal-lation
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/latex/verbatim.htm!http://www.ats.ucla.edu/stat/stata/latex/verbatim.htm@

.e Example
.c faq
.t Stata tools for LaTeX: List variables
.a UCLA Academic Technology Services
.k tex latex util-ity format-s format-ting
.k list-s data-sets set-s manage-ment value-s
.k var-iables obs-ervations tabl-es listtex
.k ucla text-s file-s input-s output-ting output-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/latex/list_variables.htm!http://www.ats.ucla.edu/stat/stata/latex/list_variables.htm@

.e Example
.c faq
.t Stata tools for LaTeX: Tabstat
.a UCLA Academic Technology Services
.k ucla
.k tex latex util-ity format-s format-ting
.k labtabstat tabstat tab-ulate tab-ulations tab-s tabl-es
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/latex/tabstat_stata.htm!http://www.ats.ucla.edu/stat/stata/latex/tabstat_stata.htm@

.e Example
.c faq
.t Stata tools for LaTeX: Summary statistics
.a UCLA Academic Technology Services
.k ucla
.k tex latex util-ity format-s format-ting
.k stat-istics summ-ary summ-arize sutex
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/latex/summary_stata.htm!http://www.ats.ucla.edu/stat/stata/latex/summary_stata.htm@

.e Example
.c faq
.t Stata graph in LaTeX
.a UCLA Academic Technology Services
.k ucla
.k tex latex util-ity format-s format-ting
.k graph-s graph-ics graph-ing graph2tex eps .eps file-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/latex/graph_stata_latex.htm!http://www.ats.ucla.edu/stat/stata/latex/graph_stata_latex.htm@

.e Example
.c faq
.t Stata tools for LaTeX: Displaying results after estimation
.a UCLA Academic Technology Services
.k ucla
.k tex latex util-ity format-s format-ting
.k outtex output-ting output-ing result-s est-imation est-imates
.k display-ing
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/latex/estimates.htm!http://www.ats.ucla.edu/stat/stata/latex/estimates.htm@

.e Example
.c faq
.t Stata tools for LaTeX: Matrices
.a UCLA Academic Technology Services
.k ucla
.k tex latex util-ity format-s format-ting
.k matr-ices matr-ix outtable outtex tabl-es
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/latex/matrices.htm!http://www.ats.ucla.edu/stat/stata/latex/matrices.htm@

.e Example
.c faq
.t Seminar: Applied Survey Data Analysis in Stata 11
.a UCLA Academic Technology Services
.k ucla stat-istics svyset survey-s svy-: data-sets set-s anal-ysis
.k est-imations variance-s estat mi imput-e imput-ing mult-iply mult-iple
.x
	9/10	discusses survey data analysis
		@browser:http://statistics.ats.ucla.edu/stat/stata/seminars/applied_svy_stata11/default.htm!http://statistics.ats.ucla.edu/stat/stata/seminars/@
		@browser:http://statistics.ats.ucla.edu/stat/stata/seminars/applied_svy_stata11/default.htm!applied_svy_stata11/default.htm@

.e Example
.c faq
.t Seminar: What's new in Stata 10: Endogenous variables
.a UCLA Academic Technology Services
.k ucla stat-istics
.k what-'s is what-snew new endog-enous var-iables endogeneity ivreg-ress
.k instrum-ental reg-ressions
.x
	7/08	discusses new commands dealing with endogenous
		variables
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/endogenous.htm!http://www.ats.ucla.edu/stat/stata/seminars/stata10/@
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/endogenous.htm!endogenous.htm@

.e Example
.c faq
.t Seminar: What's new in Stata 10: Power analysis for survival models
.a UCLA Academic Technology Services
.k ucla
.k what-'s is what-snew new power-s stat-istics anal-ysis surviv-al
.k model-s st-power log-ranks rank-s cox exp-onential propor-tional haz-ards
.k nonpar-ametric non param-etric
.x
	7/08	discusses the power analysis for survival models
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/stpower.htm!http://www.ats.ucla.edu/stat/stata/seminars/stata10/@
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/stpower.htm!stpower.htm@

.e Example
.c faq
.t Seminar: What's new in Stata 10: Discrete choice models
.a UCLA Academic Technology Services
.k ucla
.k what-'s is what-snew new discrete choice model-s asc-logit stat-istics
.k altern-atives specific cond-itional logit rank-s order-ed probit
.k reg-ressions asr-oprobit case-s pred-ictor var-iables clogit rologit
.x
	7/08	discusses two new commands for different choice
		models; @asclogit@ and @asroprobit@
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/choice_models.htm!http://www.ats.ucla.edu/stat/stata/seminars/stata10/@
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/choice_models.htm!choice_models.htm@

.e Example
.c faq
.t Seminar: What's new in Stata 10: Graph editor
.a UCLA Academic Technology Services
.k ucla
.k what-'s is what-snew new graph-s graph-ics graph-ing edit-ors point-s
.k plot-s label-s axis axes tool-s
.x
	7/08	introduces the interactive graphics editor
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/graph_editor.htm!http://www.ats.ucla.edu/stat/stata/seminars/stata10/@
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/graph_editor.htm!graph_editor.htm@

.e Example
.c faq
.t What's new in Stata 10: Longitudinal and multi-level models (^xt^)
.a UCLA Academic Technology Services
.k ucla stat-istics
.k what-'s is what-snew new longi-tudinal multi-level level
.k model-s xt-set xt-melogit mixed dicho-tomous xt-mepoisson count-s
.x
	7/08	discusses new features available for longitudinal
		and multi-level models (^xt^)
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/mixed.htm!http://www.ats.ucla.edu/stat/stata/seminars/stata10/mixed.htm@

.e Example
.c faq
.t Seminar: What's new in Stata 10: Survey statistics
.a UCLA Academic Technology Services
.k ucla
.k what-'s is what-snew new survey-s stat-istics svy svy-: : svyset
.k svydes-cribe strata
.x
	7/08	discusses new features available with Stata 10
		survey statistics
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/survey.htm!http://www.ats.ucla.edu/stat/stata/seminars/stata10/survey.htm@

.e Example
.c faq
.t Seminar: What's new in Stata 10: Exact statistics
.a UCLA Academic Technology Services
.k ucla
.k what-'s is what-snew new exact stat-istics exlogistic logis-tic poisson
.k reg-ressions expoisson test-s test-ing model-s
.x
	11/07	introduces two new exact tests, @exlogistic@ and
		@expoisson@
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/exact.htm!http://www.ats.ucla.edu/stat/stata/seminars/stata10/exact.htm@

.e Example
.c faq
.t Seminar: What's new in Stata 10: Multivariate analysis
.a UCLA Academic Technology Services
.k ucla stat-istics
.k what-'s is what-snew new multiv-ariate anal-ysis discrim-inant
.k discrim-ination func-tions mult-iple corres-pondence mca multi-dimensional
.k dimen-sional scale-d scaling mds lda candisc linear kth knn nearest
.k neighbor-s logis-tic quad-ratic qda canon-ical
.x
	10/07	discusses new and improved features for
		multivariate procedures
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/multivariate.htm!http://www.ats.ucla.edu/stat/stata/seminars/stata10/@
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10/multivariate.htm!multivariate.htm@

.e Example
.c faq
.t Seminar: What's new in Stata 10
.a UCLA Academic Technology Services
.k ucla
.k what-'s is what-snew new feature-s survey-s svy data stat-istics power-s
.k anal-ysis multi-level level model-s model-ing mixed multiv-ariate method-s
.k endog-enous var-iablesgraph-s graph-ing graph-ics edit-ors choice
.k dynamic panel-s time date-s sav-ed result-s
.x
	9/07	provides an overview of what's new in Stata 10
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata10!http://www.ats.ucla.edu/stat/stata/seminars/stata10/@

.e Example
.c faq
.t Seminar: Logistic regression with Stata
.a UCLA Academic Technology Services
.k ucla stat-istics logis-tic reg-ressions anal-ysis list-coef fitstat
.k prchange prtab prgen ordinal model-s spost spostado tab1 tab-ulate
.k tab-ulations xi-: logit est-imates est-imation lrtest like-lihood ratio-s
.k goodness fit lfit diagnos-tics two-way way scat-terplots plot-s graph-s
.k graph-ics graph-ing hist-ograms leastlikely pred-icted prob-ability
.k prvalue xi3 postgr3 cat-egorical pred-ictor variance-s
.x
	5/07	seminar to help increase skills using logistic
		regression analysis
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata_logistic/default.htm!http://www.ats.ucla.edu/stat/stata/seminars/stata_logistic/@

.e Example
.c faq
.t Seminar: Beyond Binary: Multinomial Logistic Regression in Stata
.a UCLA Academic Technology Services
.k ucla stat-istics bina-ry list-coef fitstat prchange prtab response-s
.k var-iables mult-iple multin-omial logis-tic logit mlogit order-ed ordinal
.k relative risk rrr ratio-s pred-ictions prob-ability pred-ictor pred-icted
.k continu-ous mlogtest wald test-s model-s reg-ressions
.k lr tabstat outcome-s cat-egorical
.x
	6/06	@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata_BeyondBinaryLogistic/Stata_multinomial2.htm!http://www.ats.ucla.edu/stat/stata/seminars/@
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata_BeyondBinaryLogistic/Stata_multinomial2.htm!stata_BeyondBinaryLogistic/Stata_multinomial2.htm@

.e Example
.c faq
.t Seminar: Beyond Binary: Ordinal Logistic Regression in Stata
.a UCLA Academic Technology Services
.k ucla stat-istics bina-ry order-ed ordinal logis-tic logit reg-ressions
.k anal-ysis gologit list-coef fitstat prchange prtab response-s var-iables
.k ologit omodel propor-tional odd-s continu-ous pred-ictions pred-ictor
.k prob-ability pred-icted model-s test-s link-test
.x
	3/06	@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata_BeyondBinaryLogistic/Stata_ordinal_seminar.htm!http://www.ats.ucla.edu/stat/stata/seminars/@
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata_BeyondBinaryLogistic/Stata_ordinal_seminar.htm!stata_BeyondBinaryLogistic/Stata_ordinal_seminar.htm@

.e Example
.c faq
.t Seminar: Visualizing Main Effects & Interactions for Logit Models
.a UCLA Academic Technology Services
.k ucla stat-istics
.k main effect-s logis-tic logit model-s reg-ressions vibl xi-3
.k postgr3 adjust-ed mean-s prob-ability two 2 covariate-s tabl-es
.k pred-ictions pred-icted prob-abilities prob-ability centile-s
.k bina-ry continu-ous pred-ictor viblmcc graph-s graph-ics compar-e
.k compar-ison graph-ing plot-s movie-s
.x
	2/06	@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata_vibl/viblm.htm!http://www.ats.ucla.edu/stat/stata/seminars/@
		@browser:http://www.ats.ucla.edu/stat/stata/seminars/stata_vibl/viblm.htm!stata_vibl/viblm.htm@

.e Example
.c faq
.t Violations of the homogeneity of variance assumption in ANOVA
.a UCLA Academic Technology Services
.k ucla
.k anova stat-istics est-imation est-imates anal-ysis variance-s
.k var-iables heterog-eneity homog-eneity simanova dum-my dum-mies reg-ressions
.k fstar wtest test-s test-ing xi-: : stand-ard deviation error-s sample-s
.k samp-ling size robust rreg
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/library/homvar.htm!http://www.ats.ucla.edu/stat/stata/library/homvar.htm@

.e Example
.c faq
.t Understanding RRRs in multinomial logisitic regression
.a UCLA Academic Technology Services
.k ucla
.k stat-istics rrr odds ratio-s logis-tic logit reg-ressions
.k mlogit relative risk prob-ability pred-ictor pred-ictions adjust-ed
.k mult-iple multiv-ariate multin-omial bina-ry
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/library/odds_ratio_mlogit.htm!http://www.ats.ucla.edu/stat/stata/library/@
		@browser:http://www.ats.ucla.edu/stat/stata/library/odds_ratio_mlogit.htm!odds_ratio_mlogit.htm@

.e Example
.c faq
.t Analyzing correlated (clustered) data
.a UCLA Academic Technology Services
.k ucla data-sets set-s anal-ysis manage-ment corr-elate corr-elations
.k stand-ard err-ors intra-class class survey-s psu svy-: : samp-les meth-ods
.k samp-ling primary unit-s clus-ters clus-tering clus-tered robust
.k multi-level level hier-archical f stat-istics weight-ed weight-s
.k mean-s anova variance-s svyset reg-ressions pop-ulations fpc model-s
.k xt-reg rand-om intercep-tion intercep-ts ml-e max-imum like-lihood
.k xt-mixed gllamm var-iables
.x
	3/08	@browser:http://www.ats.ucla.edu/stat/stata/library/cpsu.htm!http://www.ats.ucla.edu/stat/stata/library/cpsu.htm@

.e Example
.c faq
.t Understanding odds ratios in binary logisitic regression
.a UCLA Academic Technology Services
.k ucla
.k stat-istics odds ratio-s logis-tic logit bina-ry reg-ressions
.k prob-ability pred-ictor pred-ictions adjust-ed coef-ficients pred-icted
.k prob-abilities log-s exp-onential
.x
	2/08	@browser:http://www.ats.ucla.edu/stat/stata/Library/odds_ratio_logistic.htm!http://www.ats.ucla.edu/stat/stata/Library/@
		@browser:http://www.ats.ucla.edu/stat/stata/Library/odds_ratio_logistic.htm!odds_ratio_logistic.htm@

.e Example
.c faq
.t Panel data analysis using ^gee^
.a UCLA Academic Technology Services
.k ucla data-sets set-s anal-ysis manage-ment
.k panel-s cross section-al time-series series graph-s graph-ing graph-ics
.k gee general-ized estimat-ing eq-uations continu-ous response-s
.k var-iables xt-gee corr-elations xi-: : bina-ry logit model-s estat
.x
	2/08	@browser:http://www.ats.ucla.edu/stat/stata/library/gee.htm!http://www.ats.ucla.edu/stat/stata/library/gee.htm@

.e Example
.c faq
.t Replicate weights
.a UCLA Academic Technology Services
.k ucla stat-istics repli-cates replic-ations weight-ing weight-s var-iables
.k stand-ard err-ors survey-s data-sets set-s svy prob-ability prob-abilities
.k pw-eights samp-les samp-ling psu primary unit-s strata strat-ification
.k fpc pop-ulations design-s correct-ion correct-ed replacem-ent brr bal-anced
.k repeat-ed jack-knifed jack-nifed svr survwgt svydes-cribe svyset
.x
	1/07	@browser:http://www.ats.ucla.edu/stat/stata/library/replicate_weights.htm!http://www.ats.ucla.edu/stat/stata/library/@
		@browser:http://www.ats.ucla.edu/stat/stata/library/replicate_weights.htm!replicate_weights.htm@

.e Example
.c faq
.t Survey sampling examples using Stata 9
.a UCLA Academic Technology Services
.k ucla stat-istics
.k prob-ability weight-s strat-ification samp-les samp-ling frac-tions
.k propor-tions pw-eights clus-ters clus-tering psu
.k fpc pop-ulations simple rand-om strat-a strat-ified strat-um
.k svyset survey-s svy-: mean-s total-s reg-ressions linear strat-ified
.k one-stage stage est-imation est-imates
.x
	6/06	@browser:http://www.ats.ucla.edu/stat/stata/library/svy_survey.htm!http://www.ats.ucla.edu/stat/stata/library/svy_survey.htm@

.e Example
.c faq
.t Stata learning module:  Using and saving files in Stata
.a UCLA Academic Technology Services
.k ucla examp-les sav-ed use data-sets set-s manage-ment load read
.k writ-e writ-ing modul-es file-s sav-ing set mem-ory
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/usesave.htm!http://www.ats.ucla.edu/stat/stata/modules/usesave.htm@

.e Example
.c faq
.t Stata learning module:  Descriptive information and statistics
.a UCLA Academic Technology Services
.k ucla modul-es examp-les data-sets set-s manage-ment descrip-tive
.k info-rmation file-s descrip-tions describ-e code-s book-s codebook inspect
.k list-s creat-ed tabl-es tab-ulate tab-ulations tab1 gen-erate summ-ary
.k summ-arize stat-istics
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/descript.htm!http://www.ats.ucla.edu/stat/stata/modules/descript.htm@

.e Example
.c faq
.t Stata learning module:  Using ^if^ with Stata commands
.a UCLA Academic Technology Services
.k ucla modul-es examp-les data-sets set-s manage-ment if tabl-es tab-ulate
.k tab-ulations keep list-s summ-ary summ-arize
.x
	10/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/if.htm!http://www.ats.ucla.edu/stat/stata/modules/if.htm@

.e Example
.c faq
.t Stata learning module:  Inputting your data into Stata
.a UCLA Academic Technology Services
.k ucla examp-les modul-es data-sets set-s manage-ment edit-ing
.k insheet read-ing ascii
.k text creat-ed spread-sheets enter-ing comma-s separ-ated tab-s infile
.k input-ting input-ing infix colu-mns space file-s infile fix-ed format-ted
.k format-s edit-ors delimit-er
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/input.htm!http://www.ats.ucla.edu/stat/stata/modules/input.htm@

.e Example
.c faq
.t Stata learning module:  Comparing Stata and SAS side by side
.a UCLA Academic Technology Services
.k ucla examp-les modul-es sas stata compar-e
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/statasas.htm!http://www.ats.ucla.edu/stat/stata/modules/statasas.htm@

.e Example
.c faq
.t Stata learning module: Reshaping data:  long to wide
.a UCLA Academic Technology Services
.k ucla examp-les modul-es data-sets set-s manage-ment reshape wide long
.k list-s mult-iple var-iables character-istics suffix
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/reshapew.htm!http://www.ats.ucla.edu/stat/stata/modules/reshapew.htm@

.e Example
.c faq
.t Stata learning module:  Reshaping data: wide to long
.a UCLA Academic Technology Services
.k ucla modul-es examp-les data-sets set-s manage-ment reshape wide long
.k list-s character-istics suffix
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/reshapel.htm!http://www.ats.ucla.edu/stat/stata/modules/reshapel.htm@

.e Example
.c faq
.t Stata learning module:  Combining data
.a UCLA Academic Technology Services
.k ucla examp-les data-sets set-s manage-ment append comb-ine join
.k modul-es obs-ervations merge match file-s stack-ed sort one 1 mult-iple
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/combine.htm!http://www.ats.ucla.edu/stat/stata/modules/combine.htm@

.e Example
.c faq
.t Stata learning module:  Getting help using Stata
.a UCLA Academic Technology Services
.k ucla examp-les modul-es
.k help summ-ary summ-aries summ-arize internet web-sites site-s
.k on-line index keyword-s search docu-mentation
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/help.htm!http://www.ats.ucla.edu/stat/stata/modules/help.htm@

.e Example
.c faq
.t Stata learning module:  A statistical sampler in Stata
.a UCLA Academic Technology Services
.k ucla modul-es examp-les data-sets set-s manage-ment stat-istics sample-s
.k samp-ling t-tests test-s two 2 chi-squared sq-uared chi-2 tab-ulate
.k tab-ulations fisher-s exact corr-elations corr-elate pwcorr pair-wise
.k reg-ressions anova anal-ysis of variance-s one-way way
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/stats.htm!http://www.ats.ucla.edu/stat/stata/modules/stats.htm@

.e Example
.c faq
.t Stata learning module:  An overview of Stata syntax
.a UCLA Academic Technology Services
.k ucla modul-es examp-les data-sets set-s manage-ment synt-ax command-s
.k summ-ary summ-arize stat-istics var-iables by if in
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/syntax.htm!http://www.ats.ucla.edu/stat/stata/modules/syntax.htm@

.e Example
.c faq
.t Stata learning module:  Subsetting data
.a UCLA Academic Technology Services
.k ucla examp-les date-s data-sets set-s manage-ment subset-s keep drop
.k var-iables obs-ervations if use elim-inate
.x
	5/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/subset.htm!http://www.ats.ucla.edu/stat/stata/modules/subset.htm@

.e Example
.c faq
.t Stata learning module:  Using dates in Stata
.a UCLA Academic Technology Services
.k ucla examp-les date-s data-sets set-s manage-ment mdy elap-sed
.k modul-es var-iables func-tions format-s %d month-ly day year-ly dow
.k convert convers-ions infix str-ings
.x
	4/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/dates.htm!http://www.ats.ucla.edu/stat/stata/modules/dates.htm@

.e Example
.c faq
.t Stata learning module:  Labeling data
.a UCLA Academic Technology Services
.k ucla modul-es examp-les data-sets set-s manage-ment label-s label-ing
.k creat-ed file-s var-iables value-s
.x
	2/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/labels.htm!http://www.ats.ucla.edu/stat/stata/modules/labels.htm@

.e Example
.c faq
.t Stata learning module:  Creating and recoding variables
.a UCLA Academic Technology Services
.k ucla examp-les modul-es data-sets set-s manage-ment
.k creat-e recode var-iables replace gen-erate compute tab-ulate tab-ulations
.k if
.x
	2/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/vars.htm!http://www.ats.ucla.edu/stat/stata/modules/vars.htm@

.e Example
.c faq
.t Stata learning module:  Collapsing data across observations
.a UCLA Academic Technology Services
.k ucla examp-les modul-es data-sets set-s manage-ment collapse
.k mean-s sum-s total-s across obs-ervations
.x
	2/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/collapse.htm!http://www.ats.ucla.edu/stat/stata/modules/collapse.htm@

.e Example
.c faq
.t Stata learning module:  Working across variables using foreach
.a UCLA Academic Technology Services
.k ucla examp-les modul-es
.k var-iables for-each each gen-erate collapse
.k patt-erns for-values value-s data-sets sets manage-ment
.k create recode compute across
.x
	2/08	@browser:http://www.ats.ucla.edu/stat/stata/modules/acrossvars.htm!http://www.ats.ucla.edu/stat/stata/modules/acrossvars.htm@

.e Example
.c faq
.t Stata learning module:  Graphics: Overview of Twoway Plots
.a UCLA Academic Technology Services
.k ucla examp-les modul-es
.k stat-istics graph-s graph-ing graph-ics plot-s two-way scat-terplots
.k line-s conn-ected immed-iate scatteri drop-ped area-s shad-es shad-ing
.k bar-s spike-s drop-lines dot-s dotplot range rarea rbar rspike
.k rcap rscatter mark-ers mark-s symb-ols rline mband band-s capped rcapsym
.k rconnected conn-ected high med-ian band mband pred-ictions
.k mspline spline-s lowess linear lfit fit-ted fit-ting qfit
.k fpfit lfitci conf-idence interv-als frac-tional poly-nomials qfitci
.k fpfitci quad-ratic hist-ograms kern-el dens-ity kdensity func-tions
.x
	3/06	@browser:http://www.ats.ucla.edu/stat/stata/modules/graph8/twoway/default.htm!http://www.ats.ucla.edu/stat/stata/modules/graph8/twoway/@

.e Example
.c faq
.t Stata learning module:  Graphics: twoway scatterplots (2)
.a UCLA Academic Technology Services
.k ucla examp-les modul-es
.k stat-istics graph-s graph-ing graph-ics plot-s two-way scat-terplots
.k scheme-s jitter-ing symb-ols size-s color-s mark-ers mark-s width
.k label-s opt-ions position-s conn-ected line-s gap-s qc
.x
	12/03	@browser:http://www.ats.ucla.edu/stat/stata/modules/graph8/twoway_scatter/default.htm!http://www.ats.ucla.edu/stat/stata/modules/graph8/@
		@browser:http://www.ats.ucla.edu/stat/stata/modules/graph8/twoway_scatter/default.htm!twoway_scatter/@

.e Example
.c faq
.t Stata learning module:  Graphics: combining twoway scatterplots
.a UCLA Academic Technology Services
.k ucla examp-les modul-es
.k stat-istics graph-s graph-ing graph-ics plot-s two-way scat-terplots
.k comb-ine separ-ate plot-s by linear fit-ted fit-ting lfit
.k mult-iple order-ed order-ing reg-ressions rvfplot lvr2plot
.x
	8/03	@browser:http://www.ats.ucla.edu/stat/stata/modules/graph8/twoway_scatter_combine/default.htm!http://www.ats.ucla.edu/stat/stata/modules/graph8/@
		@browser:http://www.ats.ucla.edu/stat/stata/modules/graph8/twoway_scatter_combine/default.htm!twoway_scatter_combine/@

.e Example
.c faq
.t Stata learning module:  Graphics: common graph options
.a UCLA Academic Technology Services
.k ucla examp-les modul-es
.k stat-istics graph-s graph-ing graph-ics plot-s two-way scat-terplots
.k opt-ions titl-es subtitl-es color-s background border-s margin-s
.k gap-s line-gaps caption-s note-s size-s region-s
.x
	8/03	@browser:http://www.ats.ucla.edu/stat/stata/modules/graph8/gen_opts/default.htm!http://www.ats.ucla.edu/stat/stata/modules/graph8/gen_opts/@

.e Example
.c faq
.t Creating and extending boxplots using twoway graphs
.a UCLA Academic Technology Services
.k ucla stat-istics
.k two-way way graph-s graph-ics graph-ing plot-s box-plots
.x
	5/10	@browser:http://www.ats.ucla.edu/stat/stata/code/twboxplot.htm!http://www.ats.ucla.edu/stat/stata/code/twboxplot.htm@

.e Example
.c faq
.t Sidak-Holm Adjusted p-values
.a UCLA Academic Technology Services
.k ucla stat-istics
.k holm-s sidak-s adjust-ed p-values bonfer-ronis adjust-ed value-s
.x
	10/09	@browser:http://www.ats.ucla.edu/stat/stata/code/sidak_holm.htm!http://www.ats.ucla.edu/stat/stata/code/sidak_holm.htm@

.e Example
.c faq
.t Simple linear and nonlinear models using Stata's @ml@ command
.a UCLA Academic Technology Services
.k ucla simple linear nonlin-ear model-s ml stat-istics
.x
	6/09	@browser:http://www.ats.ucla.edu/stat/stata/code/simple_ml.htm!http://www.ats.ucla.edu/stat/stata/code/simple_ml.htm@

.e Example
.c faq
.t CFA (Confirmatory Factor Analysis) using Mata optimize
.a UCLA Academic Technology Services
.k ucla confirm-atory factor-s anal-ysis mata optimiz-e model-s est-imates
.k est-imation stat-istics
.x
	6/09	@browser:http://www.ats.ucla.edu/stat/stata/code/cfa_mata.htm!http://www.ats.ucla.edu/stat/stata/code/cfa_mata.htm@

.e Example
.c faq
.t Retrospective power analysis for anova
.a UCLA Academic Technology Services
.k ucla power-s retrospective anal-ysis anova stat-istics
.x
	6/09	@browser:http://www.ats.ucla.edu/stat/stata/code/anova_retro_power.htm!http://www.ats.ucla.edu/stat/stata/code/anova_retro_power.htm@

.e Example
.c faq
.t Fitting a seemingly unrelated regression (@sureg@) manually
.a UCLA Academic Technology Services
.k ucla fit-ting seemingly unrel-ated reg-ressions sureg two outcome-s
.k variable-s predict stat-istics
.x
	5/09	@browser:http://statistics.ats.ucla.edu/stat/stata/code/sureg.htm!http://statistics.ats.ucla.edu/stat/stata/code/sureg.htm@

.e Example
.c faq
.t How can I read binary data in Stata?
.a UCLA Academic Technology Services
.k ucla code-s bina-ry data-sets set-s manage-ment read-ing file-s
.x
	4/09	@browser:http://www.ats.ucla.edu/stat/stata/code/reading_binary_data.htm!http://www.ats.ucla.edu/stat/stata/code/@
		@browser:http://www.ats.ucla.edu/stat/stata/code/reading_binary_data.htm!reading_binary_data.htm@

.e Example
.c faq
.t Code frag.: Combining a histogram and a boxplot in one graph
.a UCLA Academic Technology Services
.k ucla input-ting input-ing data-sets set-s manage-ment stata graph-s
.k graph-ing graph-ics code-s comb-ine merge join hist-ograms box-plots plot-s
.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/code/histbox.htm!http://www.ats.ucla.edu/stat/stata/code/histbox.htm@

.e Example
.c faq
.t Code frag.: Creating a pyramid plot by subgroup
.a UCLA Academic Technology Services
.k ucla data-sets set-s manage-ment stata createcode-s writ-e writ-ing
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.x
	7/08	@browser:http://www.ats.ucla.edu/stat/stata/code/pyramid_by_subgroup.htm!http://www.ats.ucla.edu/stat/stata/code/pyramid_by_subgroup.htm@

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.t Reading data from Stata into Mata
.a UCLA Academic Technology Services
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	4/07	@browser:http://www.ats.ucla.edu/stat/stata/code/data2mata.htm!http://www.ats.ucla.edu/stat/stata/code/data2mata.htm@

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.t Code frag.: Graphing predicted prob. with two interaction terms
.a UCLA Academic Technology Services
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	8/07	@browser:http://www.ats.ucla.edu/stat/stata/code/graph_interaction_two_terms.htm!http://www.ats.ucla.edu/stat/stata/code/@
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.t Code frag.: Hazard ratio of baseline char. by a dichotomous variable
.a UCLA Academic Technology Services
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	12/06	@browser:http://www.ats.ucla.edu/stat/stata/code/display_hr.htm!http://www.ats.ucla.edu/stat/stata/code/display_hr.htm@

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.t Using Graphs Instead of Tables in Political Science
.a UCLA Academic Technology Services
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	10/09	Stata Paper Examples: Using Graphs Instead of
		Tables in Political Science by Jonathan Kastellec
		and Eduardo Leoni
		@browser:http://www.ats.ucla.edu/stat/stata/paperexamples/Kastellec_Leoni/default.htm!http://www.ats.ucla.edu/stat/stata/paperexamples/@
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