Contents

Preface xiii

1. Introduction: Distributions and Inference for Categorical Data 1

2. Describing Contingency Tables 36

3. Inference for Contingency Tables 70

4. Introduction to Generalized Linear Models 115

5. Logistic Regression 165

6. Building and Applying Logistic Regression Models 211

7. Logit Models for Multinomial Responses 267

8. Loglinear Models for Contingency Tables 314

9. Building and Extending LoglinearrLogit Models 357

10. Models for Matched Pairs 409

11. Analyzing Repeated Categorical Response Data 455

12. Random Effects: Generalized Linear Mixed Models for

Categorical Responses 491

13. Other Mixture Models for Categorical Data* 538

14. Asymptotic Theory for Parametric Models 576

15. Alternative Estimation Theory for Parametric Models 600

16. Historical Tour of Categorical Data Analysis* 619

Appendix A. Using Computer Software to Analyze Categorical Data 632

A.1 Software for Categorical Data Analysis, 632

A.2 Examples of SAS Code by Chapter, 634

Appendix B. Chi-Squared Distribution Values 654

References 655

Examples Index 689

Author Index 693

Subject Index 701

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