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Preface
About the Companion Website
1. Introduction
2. Analyzing Contingency Tables
3. Generalized Linear Models
4. Logistic Regression
5. Building and Applying Logistic Regression Models
6. Multicategory Logit Models
7. Loglinear Models for Contingency Tables and Counts
8. Models for Matched Pairs
9. Marginal Modeling of Correlated, Clustered Responses
10. Random Effects: Generalized Linear Mixed Models
11. Classlfication and Smoothing
12. A Historical Tour of Categorical Data Analysis
Appendix: Software for Categorical Date Analysis
Brief Solutions to Odd-Numbered Exercises
Bibliography
Examples Index
Subject Index
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