Categorical Data Analysis

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John Wiley & Sons, Apr 14, 2003 - Mathematics - 734 pages
8 Reviews
"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 'must-have' 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 small-sample 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 - LibraryThing

A must-have 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

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Great book!

Contents

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
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
References
655
Examples Index
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
Subject Index
701
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About the author (2003)

ALAN AGRESTI, PhD, is Distinguished Professor in the Department of Statistics at the University of Florida. He has published extensively on categorical data methods and has presented courses on the topic for universities, companies, and professional organizations worldwide. A Fellow of the American Statistical Association, he is also the author of two other Wiley texts on categorical data analysis and coauthor of Statistical Methods for the Social Sciences.

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