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An Introduction to Categorical Data Analysis, 2nd Edition

by: Alan Agresti (Univ. of Florida, Gainesville)

ISBN: 9780471226185 | 0471226181

Edition: 2nd
Format: Hardcover
Publisher: Wiley
Pub. Date: 3/1/2007

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Summary Table of Contents Author Biography

Alan Agresti is Distinguished Professor Emeritus in the Department of Statistics at the University of Florida.

A non-technical introductory featuring the most important techniques for analyzing categorical data such as classical inferences for two-and-three way contingency tables, logistic regression, log linear models and matched-pairs data. Contains more than 200 exercises and more than 100 examples of authentic data sets. An appendix describes the use of computer packages to perform analyses in the text.

... MOREPraise for the First Edition"This is a superb text from which to teach categorical data analysis, at a variety of levels. . . [t]his book can be very highly recommended." -Short Book Reviews"Of great interest to potential readers is the variety of fields that are represented in the examples: health care, financial, government, product marketing, and sports, to name a few." -Journal of Quality Technology"Alan Agresti has written another brilliant account of the analysis of categorical data." -The StatisticianThe use of statistical methods for categorical data is ever increasing in today's world. An Introduction to Categorical Data Analysis, Second Edition provides an applied introduction to the most important methods for analyzing categorical data. This new edition summarizes methods that have long played a prominent role in data analysis, such as chi-squared tests, and also places special emphasis on logistic regression and other modeling techniques for univariate and correlated multivariate categorical responses.This Second Edition features: Two new chapters on the methods for clustered data, with an emphasis on generalized estimating equations (GEE) and random effects models A unified perspective based on generalized linear models An emphasis on logistic regression modeling An appendix that demonstrates the use of SASr for all methods An entertaining historical perspective on the development of the methods Specialized methods for ordinal data, small samples, multicategory data, and matched pairs More than 100 analyses of real data sets and nearly 300 exercisesWritten in an applied, nontechnical style, the book illustrates methods using a wide variety of real data, including medical clinical trials, drug use by teenagers, basketball shooting, horseshoe crab mating, environmental opinions, correlates of happiness, and much more.An Introduction to Categorical Data Analysis, Second Edition is an invaluable tool for social, behavioral, and biomedical scientists, as well as researchers in public health, marketing, education, biological and agricultural sciences, and industrial quality control.

The first edition of this text has sold over 19,600 copies. However, the use of statistical methods for categorical data has increased dramatically in recent years, particularly for applications in the biomedical and social sciences. A second edition of the introductory version of the book will suit it nicely.

Two-Way Contingency Tables
Three-Way Contingency Tables
Generalized Linear Models
Logistic Regression
Loglinear Models for Contingency Tables
Building and Applying Logit and Loglinear Models
Multicategory Logit Models
Models for Matched Pairs
A Twentieth-Century Tour of Categorical Data Analysis
Appe... MOREndix
Table of Chi-Squared Distribution Values for Various Right-Tail Probabilities
Bibliography
Indexes
Table of Contents provided by Publisher. All Rights Reserved.

ALAN AGRESTI, PhD, is Distinguished Professor Emeritus in the Department of Statistics at the University of Florida. He has presented short courses on categorical data methods in thirty countries. Dr. Agresti was named "Statistician of the Year" by the Chicago chapter of the American Statistical Association in 2003. He is the author of two advanced texts, including the bestselling Categorical Data Analysis (Wiley) and is also the coauthor of Statistics: The Art and Science of Learning from Data and Statistical Methods for the Social Sciences.

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An Introduction to Categorical Data Analysis, 2nd Edition

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