Consider an anova design with three between-subject factors; t (2 levels), c (3 levels) and p (4 levels) and one within-subject factor s with 2 levels. The within-subject factor is…
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The xtline command allows you to generate linear plots for panel data. We will show a number of examples from a data file which contains a measurement of alcohol use, alcuse, taken at…
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Consider the following xtmelogit. use https://stats.idre.ucla.edu/stat/data/hsbdemo, clear xtmelogit honors i.female read || cid: Refining starting values: Iteration 0: log likelihood = -82.156921 Iteration 1: log likelihood = -80.132249 Iteration 2:…
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Note: The syntax used on this page is appropriate for Stata 10 and earlier. This FAQ presents some classical ANOVA designs using xtmixed. Included is the code for factorial designs,…
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Note: The syntax used on this page is appropriate for Stata 11 and makes use of the user written program anovalator (search anovalator) for many of the designs. This FAQ…
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This FAQ presents some classical ANOVA designs using the mixed command. Included is the code for factorial designs, a randomized block design, a randomized block factorial design, three split-plot factorial…
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Method Note: We are unsure whether this method should be used to estimate effect sizes for predictors that vary somewhat or completely at the between-cluster level (i.e., vary at level…
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This page was adapted from a FAQ at the Stata Corp. FAQ page.  We thank Stata for their permission to adapt and distribute this page via our web site. The…
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How can I access Stata? Available to All Students CLICC offers laptops for loan which can access the current version of Stata. The CLICC Virtual Desktop also has the current…
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These pages contain information to help you install Stata, customize it, and keep it up to date. Installing Stata Customizing Stata Updating Stata