Subsections:

- 43.1 Comparison of the Marginal and Random Effect Models for Binary Data
- 43.2 Log-Linear Model for Count Data
- 43.3 Weighted GEE for Longitudinal Data That Have Missing Values
- 43.4 GEE for Binary Data with Logit Link Function
- 43.5 Alternating Logistic Regression for Ordinal Multinomial Data
- 43.6 GEE for Nominal Multinomial Data

The following examples illustrate some of the capabilities of the GEE procedure. These examples are not intended to represent definitive analyses of the data sets that are presented here.