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An introduction to categorical data analysis

Author: Alan Agresti
Publisher: Hoboken, NJ : John Wiley & Sons, 2019.
Edition/Format:   eBook : Document : English : Third editionView all editions and formats
Summary:
"A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic  Read more...
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Genre/Form: Electronic books
Additional Physical Format: Print version:
Agresti, Alan.
Introduction to categorical data analysis.
Hoboken, NJ : John Wiley & Sons, 2019
(DLC) 2018026887
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Alan Agresti
ISBN: 9781119405276 1119405270 9781119405283 1119405289
OCLC Number: 1048050427
Description: 1 online resource (xiii, 375 pages) : illustrations
Contents: Analyzing contingency tables --
Generalized linear models --
Logistic regression --
Building and applying binary regression models --
Multicategory logit models --
Loglinear models for contingency tables and counts --
Models for matched pairs --
Marginal modeling of correlated, clustered responses --
Random effects : generalized linear mixed models --
Classification and smoothing --
A historical tour of categorical data analysis.
Responsibility: Alan Agresti.

Abstract:

"A valuable new edition of a standard reference The use of statistical methods for categorical data has increased dramatically, particularly for applications in the biomedical and social sciences. An Introduction to Categorical Data Analysis, Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data"--Publisher's description.

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