Categorical Data AnalysisAmstat News asked three review editors to rate their top five favorite books in the September 2003 issue. Categorical Data Analysis was among those chosen. A valuable new edition of a standard reference "A 'musthave' book for anyone expecting to do research and/or applications in categorical data analysis." The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. Responding to new developments in the field as well as to the needs of a new generation of professionals and students, this new edition of the classic Categorical Data Analysis offers a comprehensive introduction to the most important methods for categorical data analysis. Designed for statisticians and biostatisticians as well as scientists and graduate students practicing statistics, Categorical Data Analysis, Second Edition summarizes the latest methods for univariate and correlated multivariate categorical responses. Readers will find a unified generalized linear models approach that connects logistic regression and Poisson and negative binomial regression for discrete data with normal regression for continuous data. Adding to the value in the new edition is coverage of:

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Great book!
This book is absoultely brillant. It's a very well organized text, and concepts are presented about as clearly as I've ever seen a textbook present them. I would go as far as to call this book the bible of categorical data.
I'm working as a professional statistician for about a year, but I seem to refer back to this book for some use on at least a monthly basis.
Contents
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 
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 
Appendix B ChiSquared Distribution Values  654 
655  
689  
9 Building and Extending LoglinearLogit 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 
Author Index  693 
701  