Longitudinal Data Analysis Using Discrete and Continuous Responses

Target group

Course structure

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

• Fitting a binary GEE model in PROC GENMOD.