Categorical Data Analysis"Amstat 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." "Statistics in Medicine on Categorical Data Analysis," First Edition 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: Three new chapters on methods for repeated measurement and other forms of clustered categorical data, including marginal models and associated generalized estimating equations (GEE) methods, and mixed models with random effects Stronger emphasis on logistic regression modeling of binary and multicategory data An appendix showing the use of SAS for conducting nearly all analyses in the book Prescriptions for how ordinal variables should be treated differently than nominal variables Discussion of exact smallsample procedures More than 100 analyses of real data sets to illustrate application of the methods, and more than 600 exercises An Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department. 
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LibraryThing Review
User Review  plf515  LibraryThingA musthave for anyone who needs to know the details and needs absolute authority. Although not the easiest introduction to the topic, Agresti writes with admirable clarity, considering the mathematical level. Read full review
Great book!
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  