An edition of Logistic Regression Models (2009)

Logistic Regression Models

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Last edited by MARC Bot
November 30, 2023 | History
An edition of Logistic Regression Models (2009)

Logistic Regression Models

This text presents an overview of the full range of logistic models, including binary, proportional, ordered, and categorical response regression procedures. It illustrates how to apply the models to medical, health, environmental/ecological, physical, and social science data. Stata is used to develop, evaluate, and display most models while R code is given at the end of most chapters. The author examines the theoretical foundation of the models and describes how each type of model is established, interpreted, and evaluated as to its goodness of fit. Example data sets are available online in various formats and a solutions manual is available for qualifying instructors.

Publish Date
Language
English
Pages
656

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Edition Availability
Cover of: Logistic Regression Models
Logistic Regression Models
2017, Taylor & Francis Group
in English
Cover of: Logistic Regression Models
Logistic Regression Models
2009, Taylor & Francis Group
in English
Cover of: Logistic Regression Models
Logistic Regression Models
2009, Taylor & Francis Group
in English
Cover of: Logistic Regression Models
Logistic Regression Models
2009, Taylor & Francis Group
in English
Cover of: Logistic Regression Models
Logistic Regression Models
2009, Taylor & Francis Group
in English
Cover of: Logistic Regression Models
Logistic Regression Models
June 15, 2009, Chapman & Hall/CRC, Chapman and Hall/CRC
Hardcover in English

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Book Details


Classifications

Library of Congress
QA278.2 .H53 2009, QA278.2.H53 2009

The Physical Object

Format
Hardcover
Number of pages
656

ID Numbers

Open Library
OL11817422M
ISBN 10
1420075756
ISBN 13
9781420075755
LCCN
2008042667
OCLC/WorldCat
226357303
Library Thing
8103478
Goodreads
2787674

Work Description

Logistic Regression Models presents an overview of the full range of logistic based models, including binary, proportional, ordered, and categorical response regression procedures. It illustrates how to apply the models to medical, health, environmental, physical, and social science data. At 656 pages in length, the text is the most comprehensive resource on logistic-based models available. Examples are given using both Stata and R code. A 187 page Solutions Manual is freely available for qualified instructors.

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November 30, 2023 Edited by MARC Bot import existing book
May 4, 2023 Edited by ImportBot import existing book
April 5, 2023 Edited by ImportBot import existing book
September 16, 2021 Edited by ImportBot import existing book
April 30, 2008 Created by an anonymous user Imported from amazon.com record