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Categorical Data Analysis
Praise for the Second Edition "A must-have book for anyone expecting to do research and/or applications in categorical data analysis."
― Statistics in Medicine "It is a total delight reading this book."
― Pharmaceutical Research "If you do any analysis of categorical data, this is an essential desktop reference."
― Technometrics The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis. Categorical Data Analysis, Third 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 loglinear models for discrete data with normal regression for continuous data. This edition also features: Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and methodologists, such as biostatisticians and researchers in the social and behavioral sciences, medicine and public health, marketing, education, finance, biological and agricultural sciences, and industrial quality control.
― Statistics in Medicine "It is a total delight reading this book."
― Pharmaceutical Research "If you do any analysis of categorical data, this is an essential desktop reference."
― Technometrics The use of statistical methods for analyzing categorical data has increased dramatically, particularly in the biomedical, social sciences, and financial industries. Responding to new developments, this book offers a comprehensive treatment of the most important methods for categorical data analysis. Categorical Data Analysis, Third 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 loglinear models for discrete data with normal regression for continuous data. This edition also features: Categorical Data Analysis, Third Edition is an invaluable tool for statisticians and methodologists, such as biostatisticians and researchers in the social and behavioral sciences, medicine and public health, marketing, education, finance, biological and agricultural sciences, and industrial quality control.
752 pages, Hardcover
First published January 1, 1990
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Displaying 1 - 4 of 4 reviews
June 18, 2016
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.
November 22, 2018
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.
November 29, 2020
Textbook used for a course.
Okay as a collection of results, but not a great book to learn from.
Okay as a collection of results, but not a great book to learn from.
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July 12, 2013Very 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.
Displaying 1 - 4 of 4 reviews