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This title in other editions

Other titles in the Wiley Series in Probability and Statistics: Texts and References Section series:

Applied Logistic Regression (Wiley Series in Probability and Statistics: Texts and References Section)

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Applied Logistic Regression (Wiley Series in Probability and Statistics: Texts and References Section) Cover

 

Synopses & Reviews

Publisher Comments:

From the reviews of the First Edition.

"An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references."

Choice

"Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent."

Contemporary Sociology

"An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical."

The Statistician

In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly 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. Hosmer and Lemeshow 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 a wealth of real-world examples-with extensive data sets available over the Internet.

Book News Annotation:

A textbook for part of a graduate survey course, courses of a quarter or semester, and focused short courses for working professionals. Assuming a solid foundation in linear regression methodology and contingency table analysis, biostaticians Hosmer (U. of Massachusetts- Amherst) and Lemeshow (Ohio State U.) introduce the logistic regression model and its use in methods for modeling the relationship between a categorical outcome variable and a set of covariates. The first edition appeared about a decade ago, and the second incorporates theoretical and computational developments since then.
Annotation c. Book News, Inc., Portland, OR (booknews.com)

Synopsis:

Since the late 1960s the logistic regression (LR) model has become the standard method for regression analysis of dichotomous data in many fields, especially in the health sciences. This text offers an introduction to the LR model and examines its use in methods for modelling.

Synopsis:

Die logistische Regression (LR) gehört seit den 60er Jahren zu den Standardmethoden der Datenanalyse, besonders im Bereich der Medizin. Dieser neu aufgelegte, dabei sorgfältig überarbeitete Band spiegelt die wichtigsten inhaltlichen und technischen Entwicklungen der letzten beiden Jahrzehnte auf diesem Gebiet wieder. Der in mittlerem Schwierigkeitsgrad gehaltene Text eignet sich für Studenten und Praktiker aus der Biostatistik und der Epidemiologie. (09/00)

Synopsis:

From the reviews of the First Edition...

"An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references."-Choice

"Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent."-Contemporary Sociology

"An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical."-The Statistician

In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly 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. Hosmer and Lemeshow 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 a wealth of real-world examples-with extensive data sets available over the Internet.

Description:

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

About the Author

DAVID W. HOSMER, PhD, is Professor of Biostatistics at the School of Public Health and Health Sciences at the University of Massachusetts at Amherst.

STANLEY LEMESHOW, PhD, is Professor of Biostatistics and Director of the Biostatistics Program at The Ohio State University.

Table of 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.

References.

Index.

Product Details

ISBN:
9780471356325
Author:
Hosmer, David W.
Author:
Lemeshow, Stanley
Author:
David W. Hosmer, Jr.
Author:
Hosmer, David W.
Author:
Stanley Lemeshow, PhD
Author:
David W. Hosmer, Jr., PhD
Publisher:
Wiley-Interscience
Location:
New York
Subject:
General
Subject:
Statistics
Subject:
Probability
Subject:
Regression analysis
Subject:
Probability & Statistics - General
Subject:
Mathematics | Probability and Statistics
Copyright:
Edition Number:
2
Edition Description:
WOL online Book (not BRO)
Series:
Wiley Series in Probability and Statistics - Applied Probability and Statistics Section
Series Volume:
1
Publication Date:
January 2000
Binding:
Online electronic file accessible through online networks
Grade Level:
Professional and scholarly
Language:
English
Illustrations:
Yes
Pages:
392
Dimensions:
9.61x6.47x.97 in. 1.50 lbs.

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Related Subjects

Health and Self-Help » Health and Medicine » General
Health and Self-Help » Health and Medicine » General Medicine
Science and Mathematics » Mathematics » General
Science and Mathematics » Mathematics » Probability and Statistics » General
Science and Mathematics » Mathematics » Probability and Statistics » Statistics

Applied Logistic Regression (Wiley Series in Probability and Statistics: Texts and References Section) Used Hardcover
0 stars - 0 reviews
$85.00 In Stock
Product details 392 pages John Wiley & Sons - English 9780471356325 Reviews:
"Synopsis" by , Since the late 1960s the logistic regression (LR) model has become the standard method for regression analysis of dichotomous data in many fields, especially in the health sciences. This text offers an introduction to the LR model and examines its use in methods for modelling.
"Synopsis" by , Die logistische Regression (LR) gehört seit den 60er Jahren zu den Standardmethoden der Datenanalyse, besonders im Bereich der Medizin. Dieser neu aufgelegte, dabei sorgfältig überarbeitete Band spiegelt die wichtigsten inhaltlichen und technischen Entwicklungen der letzten beiden Jahrzehnte auf diesem Gebiet wieder. Der in mittlerem Schwierigkeitsgrad gehaltene Text eignet sich für Studenten und Praktiker aus der Biostatistik und der Epidemiologie. (09/00)
"Synopsis" by , From the reviews of the First Edition...

"An interesting, useful, and well-written book on logistic regression models . . . Hosmer and Lemeshow have used very little mathematics, have presented difficult concepts heuristically and through illustrative examples, and have included references."-Choice

"Well written, clearly organized, and comprehensive . . . the authors carefully walk the reader through the estimation of interpretation of coefficients from a wide variety of logistic regression models . . . their careful explication of the quantitative re-expression of coefficients from these various models is excellent."-Contemporary Sociology

"An extremely well-written book that will certainly prove an invaluable acquisition to the practicing statistician who finds other literature on analysis of discrete data hard to follow or heavily theoretical."-The Statistician

In this revised and updated edition of their popular book, David Hosmer and Stanley Lemeshow continue to provide an amazingly 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. Hosmer and Lemeshow 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 a wealth of real-world examples-with extensive data sets available over the Internet.

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