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Re: st: Logistic regression for multiple binary dependent

From   "Bryan W. Griffin" <[email protected]>
To   [email protected]
Subject   Re: st: Logistic regression for multiple binary dependent
Date   Wed, 23 Mar 2005 09:59:55 -0500

Are the three dependent variables separate measures from each subject such that they could be viewed as clusters of responses from subjects? If yes, one possible option is to model those outcomes from a generalized linear mixed model framework. This is akin to repeated measurements type models in regression/ANOVA. An example of such modeling can be found in Agresti's text Categorical Data Analysis (2002, 2nd edition, Wiley, p. 504-506) where individuals were asked whether they support abortion (yes/no) in each of three different situations. You can also find other literature (primarily in medical statistics) of such models which are often referenced as generalized linear mixed models, but sometimes as multilevel logistic models, logistic regression with random effects, and the like. At least three possible commands in Stata exist for these analyses, xtlogit (option re for random effect and pa for population average (GEE model), xtgee, and gllamm. Careful about interpretations from these model since the population average interpretation differ from the cluster-specific interpretation.

Date: Tue, 22 Mar 2005 10:10:25 -0500
From: [email protected]
Subject: st: Logistic regression for multiple binary dependent

Hi list,

In situations where we have a binary (0/1) dependent variable and it is
well known to use logistic regression for the data analysis. However, we
have a study with three binary dependent variables and we are looking for
some statistical procedure to analyze them together.

Any idea?

Thanks in advance,

Bryan W. Griffin
Curriculum, Foundations, & Reading
P.O. Box 8144
Georgia Southern University
Statesboro, GA 30460-8144

Phone: 912-681-0488
E-Mail: [email protected]

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