An Introduction to Categorical Data Analysis

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9780471226185: An Introduction to Categorical Data Analysis
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Praise for the First Edition

"This is a superb text from which to teach categorical dataanalysis, at a variety of levels. . . [t]his book can be veryhighly recommended."
Short Book Reviews

"Of great interest to potential readers is the variety of fieldsthat 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 theanalysis of categorical data."
—The Statistician

The use of statistical methods for categorical data is everincreasing in today's world. An Introduction to Categorical DataAnalysis, Second Edition provides an applied introduction tothe most important methods for analyzing categorical data. This newedition summarizes methods that have long played a prominent rolein data analysis, such as chi-squared tests, and also placesspecial emphasis on logistic regression and other modelingtechniques for univariate and correlated multivariate categoricalresponses.

This Second Edition features:

  • Two new chapters on the methods for clustered data, with anemphasis on generalized estimating equations (GEE) and randomeffects models
  • A unified perspective based on generalized linear models
  • An emphasis on logistic regression modeling
  • An appendix that demonstrates the use of SAS(r) for allmethods
  • An entertaining historical perspective on the development ofthe methods
  • Specialized methods for ordinal data, small samples,multicategory data, and matched pairs
  • More than 100 analyses of real data sets and nearly 300exercises

Written in an applied, nontechnical style, the book illustratesmethods using a wide variety of real data, including medicalclinical trials, drug use by teenagers, basketball shooting,horseshoe crab mating, environmental opinions, correlates ofhappiness, and much more.

An Introduction to Categorical Data Analysis, SecondEdition is an invaluable tool for social, behavioral, andbiomedical scientists, as well as researchers in public health,marketing, education, biological and agricultural sciences, andindustrial quality control.

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From the Publisher:

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.

About the Author:

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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9780471113386: An Introduction to Categorical Data Analysis (Wiley Series in Probability and Statistics)

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ISBN 10:  0471113387 ISBN 13:  9780471113386
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Book Description John Wiley & Sons Inc, United States, 2007. Hardback. Condition: New. 2nd Edition. Language: English. Brand new Book. Praise 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 Statistician The 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 SAS(r) 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 exercises Written 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. Seller Inventory # AAH9780471226185

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Book Description John Wiley & Sons Inc, United States, 2007. Hardback. Condition: New. 2nd Edition. Language: English. Brand new Book. Praise 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 Statistician The 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 SAS(r) 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 exercises Written 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. Seller Inventory # AAH9780471226185

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