Categorical Data Analysis Using the SAS System, 2nd EditionISBN: 9780471224242
648 pages
December 2001

Along with providing a useful discussion of categorical data analysis techniques, this book shows how to apply these methods with the SAS System. The authors include practical examples from a broad range of applications to illustrate the use of the FREQ, LOGISTIC, GENMOD, and CATMOD procedures in a variety of analyses. They also discuss other procedures such as PHREG and NPAR1WAY.
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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 TimetoEvent Data.
References.
Index.
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 TimetoEvent Data.
References.
Index.
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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.
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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