Applied Logistic Regression

Front Cover
John Wiley & Sons, Oct 28, 2004 - Mathematics - 392 pages
4 Reviews
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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Contents

1 Introduction to the Logistic Regression Model
1
2 Multiple Logistic Regression
31
3 Interpretation of the Fitted Logistic Regression Model
47
4 ModelBuilding Strategies and Methods for Logistic Regression
91
5 Assessing the Fit of the Model
143
6 Application of Logistic Regression with Different Sampling Models
203
7 Logistic Regression for Matched CaseControl Studies
223
8 Special Topics
260
Addendum
352
References
354
Index
369
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About the author (2004)

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.