Chapter 6. Building and Applying Logistic Regression Models
Published Online: 26 MAR 2003
DOI: 10.1002/0471249688.ch6
Copyright © 2002 John Wiley & Sons, Inc.
Book Title
Categorical Data Analysis, Second Edition
Additional Information
How to Cite
Agresti, A. (2003) Building and Applying Logistic Regression Models, in Categorical Data Analysis, Second Edition, John Wiley & Sons, Inc., Hoboken, NJ, USA. doi: 10.1002/0471249688.ch6
Publication History
- Published Online: 26 MAR 2003
- Published Print: 3 JUL 2002
Book Series:
ISBN Information
Print ISBN: 9780471360933
Online ISBN: 9780471249689
- Summary
- Chapter
Keywords:
- logistic regression;
- diagnostics;
- residuals;
- comparing models;
- Cochran–Mantel–Haenszel test;
- Mantel–Haenszel estimator;
- probit model;
- complementary log-log link;
- conditional logistic regression
Summary
Chapter 6 extends the discussion of Chapter 5 on logistic regression to topics about the building and application of such models. It discusses strategies for model selection, and introduces logistic regression diagnostics such as residuals. It considers special methods of inference for stratified tables, such as Mantel–Haenszel methods. It discusses sample size and power considerations. Alternative models for binary data, the probit and complementary log-log models, also are discussed. The chapter finishes with an introduction to conditional logistic regression and exact distributions for small-sample inference.