Version info: Code for this page was tested in Stata 12. Linear discriminant function analysis (i.e., discriminant analysis) performs a multivariate test of differences between groups.   In addition, discriminant analysis…
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Version info: Code for this page was tested in Stata 12. Exact logistic regression is used to model binary outcome variables in which the log odds of the outcome is…
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Introduction Power analysis is the name given to the process for determining the sample size for a research study. The technical definition of power is that it is the probability…
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Version info: Code for this page was tested in Stata 12. Interval regression is used to model outcomes that have interval censoring.  In other words, you know the ordered category…
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This page covers Example 2 from the interval regression data analysis example. The issue addressed here is how to analyze data that has both interval-censored and left-censored and right-censored values….
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Logistic Regression Logistic regression, also called a logit model, is used to model dichotomous outcome variables. In the logit model the log odds of the outcome is modeled as a…
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Introduction Power analysis is the name given to the process for determining the sample size for a research study. The technical definition of power is that it is the probability…
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Version info: Code for this page was tested in Stata 12. MANOVA is used to model two or more dependent variables that are continuous with one or more categorical predictor…
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Version info: Code for this page was tested in Stata 18 Mixed effects logistic regression is used to model binary outcome variables, in which the log odds of the outcomes…
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Version info: Code for this page was tested in Stata 12. Multinomial logistic regression is used to model nominal outcome variables, in which the log odds of the outcomes are…
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