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Introducing the BGLIMM Procedure for Bayesian Generalized Linear Mixed Models

Amy Shi introduces PROC BGLIMM (Bayesian generalized linear mixed models). This procedure is designed for fitting generalized linear mixed models. It enables you to model missing data, nested or nonnested multilevel models and repeated-measures data.

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Introducing the BGLIMM Procedure for Bayesian Generalized Linear Mixed Models
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