Categorical Data Analysis

by Alan Agresti

"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 effectsStronger emphasis on logistic regression modeling of binary and multicategory dataAn appendix showing the use of SAS for conducting nearly all analyses in the bookPrescriptions for how ordinal variables should be treated differently than nominal variablesDiscussion of exact small-sample proceduresMore than 100 analyses of real data sets to illustrate application of the methods, and more than 600 exercisesAn Instructor's Manual presenting detailed solutions to all the problems in the book is available from the Wiley editorial department.

Genres: Mathematics, Science, Academic

710 pages, Hardcover

First published January 1, 1990

Reviews

[Oleksandr Nikitin · Rating 3 out of 5]

accidentally read a book :) chapter structure could be better, but if you have some experience structuring heaps of articles yourself - it would provide a nice overview of the field.

[Terran M · Rating 3 out of 5]

Comprehensive reference for methods in categorical data analysis. I found it was not a fun book to actually read large parts of; it felt like rapid-fire lists of techniques, with neither derivation nor narrative. Overall, I preferred reading Bilder and Loughlin, which covers less material but does a better job of what it covers.

[Goo · Rating 2 out of 5]

Textbook used for a course.

Okay as a collection of results, but not a great book to learn from.

[Jim Sullivan]

Very helpful; however, the reader will need a background in nonparametric statistics before pursuing this work or you may not get too much out of it.