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Generalized Linear Mixed Modeling and PROC …

Generalized Linear Mixed Modeling and PROC GLIMMIXR ichard CharnigoProfessor of Statistics and BiostatisticsDirector of Statistics and Psychometrics Core, ~80 minutes:1. Be able to formulate a Generalized Linear Mixed model forlongitudinal data involving a categorical and a continuous Understand how Generalized Linear Mixed Modeling differs from logistic regression and Linear Mixed ~40 minutes:3. Be able to use PROC GLIMMIX to fit a Generalized Linear Mixed model for longitudinal data involving acategorical and a continuous exampleThe Excel file at { }contains a simulated data set:Five hundred college freshmen ( ID ) are asked to indicate whether they have consumed marijuana during the past three months ( MJ ).

Objectives First ~80 minutes: 1. Be able to formulate a generalized linear mixed model for longitudinal data involving a categorical and a continuous covariate.

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