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Applied logistic regression / David W. Hosmer, Stanley Lemeshow.

By: Contributor(s): Material type: TextTextSeries: Wiley series in probability and statistics. Texts and references sectionPublication details: New York : Wiley, c2000.Edition: 2nd edDescription: xii, 373 p. : ill. ; 25 cmISBN:
  • 0471356328 (cloth : alk. paper)
  • 9780471356325 (cloth : alk. paper)
Subject(s):
Contents:
Introduction to the logistic regression model -- Multiple logistic regression -- Interpretation of the fitted logistic regression model -- Model-building strategies and methods for logistic regression -- Assessing the fit of the model -- Application of logistic regression with different sampling models -- Logistic regression for matched case-control studies -- Special topics.
Summary: In this revised and updated edition, the authors continue to provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. They extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by real-world examples-with extensive data sets available over the Internet.
Holdings
Item type Current library Call number Status Date due Barcode Item holds
Book UAMS UAMS Books - 2nd Floor QA 278.2 H794a 2000 (Browse shelf(Opens below)) Available 31732004940871
Total holds: 0

"A Wiley-Interscience publication."

Includes bibliographical references (p. 352-365) and index.

Introduction to the logistic regression model -- Multiple logistic regression -- Interpretation of the fitted logistic regression model -- Model-building strategies and methods for logistic regression -- Assessing the fit of the model -- Application of logistic regression with different sampling models -- Logistic regression for matched case-control studies -- Special topics.

In this revised and updated edition, the authors continue to provide an accessible introduction to the logistic regression model while incorporating advances of the last decade, including a variety of software packages for the analysis of data sets. They extend the discussion from biostatistics and epidemiology to cutting-edge applications in data mining and machine learning, guiding readers step-by-step through the use of modeling techniques for dichotomous data in diverse fields. Ample new topics and expanded discussions of existing material are accompanied by real-world examples-with extensive data sets available over the Internet.

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