Statistical Analysis with the GLIMMIX Procedure

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Introduction to Generalized Linear Mixed Models and the GLIMMIX Procedure

• introduction to generalized linear mixed models
• introduction to the GLIMMIX procedure using logistic regression with random effects

Applications Using the GLIMMIX Procedure

• Poisson regression with random effects
• an example of beta regression
• repeated measures data with discrete response
• introduction to radial smoothing (self-study)

GLIMMIX Procedure Topics

• estimation methods used in PROC GLIMMIX
• processing models by subjects
• the FIRSTORDER adjustment to the KR degrees of freedom estimation method
• covariance matrix diagnostics
• constructed effects using the EFFECT statement
• processing models by subjects
• comparison of the GLIMMIX procedure and the NLMIXED procedure
• comparison of the GLIMMIX procedure and the GENMOD procedure
• modeling multivariate responses
• dealing with convergence problems