Longitudinal Data Analysis Using Discrete and Continuous Responses

Longitudinal Data Analysis Concepts

• understanding the merits and analytical problems associated with longitudinal data analysis

Exploratory Data Analysis

• graphing individual and group profiles
• identifying cross-sectional and longitudinal patterns

General Linear Mixed Model

• understanding the concepts behind the linear mixed model
• examining the different covariance structures available in PROC MIXED
• fitting a general linear mixed model in PROC MIXED

Evaluating Covariance Structures

• creating a sample variogram that illustrates the error components in your model
• plotting information criteria for models with selected covariance structures

Model Development, Interpretation, and Assessment

• learning the model building strategies in PROC MIXED
• creating interaction plots
• specifying heterogeneity in the covariance structure
• computing predictions using EBLUPs
• fitting a random coefficient model in PROC MIXED
• generating diagnostic plots in PROC MIXED using ODS Graphics

Generalized Linear Mixed Models

• fitting a binary Generalized Linear Mixed Model in PROC GLIMMIX

Applications Using PROC GLIMMIX

• fitting an ordinal generalized linear mixed model in PROC GLIMMIX
• fitting a generalized linear mixed model with splines in PROC GLIMMIX

GEE Regression Models

• fit a binary GEE model in PROC GENMOD