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Categorical Data Analysis Using the SAS System, Second Edition
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Table of Contents

Preface to the Second Edition. Acknowledgments. Chapter 1. Introduction. Chapter 2. The 2 x 2 Table. Chapter 3. Sets of 2 x 2 Tables. Chapter 4. Sets of 2 x r and s x 2 Tables. Chapter 5. The s x r Table. Chapter 6. Sets of s x r Tables. Chapter 7. Nonparametric Methods. Chapter 8. Logistic Regression I: Dichotomous Response. Chapter 9. Logistic Regression II: Polytomous Response. Chapter 10. Conditional Logistic Regression. Chapter 11. Quantal Bioassay Analysis. Chapter 12. Poisson Regression. Chapter 13. Weighted Least Squares. Chapter 14. Modeling Repeated Measurements Data with WLS. Chapter 15. Generalized Estimating Equations. Chapter 16. Loglinear Models. Chapter 17. Categorized Time-to-Event Data. References. Index.

About the Author

Maura E. Stokes is Senior Manager of Statistical Applications Research and Development at SAS Institute. She received her PhD in Biostatistics from the University of North Carolina at Chapel Hill and has taught and written about categorical data analysis for over fifteen years. Charles S. Davis is Professor of Biostatistics at the University of Iowa. He received his PhD in Biostatistics from the University of Michigan. His research and teaching interests include categorical data analysis and methods for the analysis of repeated measures. Gary Koch is Professor of Biostatistics and Director of the biometrics Consulting Laboratory at the University of North Carolina at Chapel Hill. He has had a prominent roll in the field of categorical data analysis for the last thirty years. He teaches classes and seminars in categorical data analysis, consults in areas of statistical practice, conducts research, and trains many Biostatistics students.

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