You are here

Applied Logistic Regression Analysis

Applied Logistic Regression Analysis

Second Edition
  • Scott Menard - Sam Houston State University, USA, University of Colorado, USA

December 2001 | 128 pages | SAGE Publications, Inc
The focus in this Second Edition is on logistic regression models for individual level (but aggregate or grouped) data. Multiple cases for each possible combination of values of the predictors are considered in detail and examples using SAS and SPSS included. New to this edition:

· More detailed consideration of grouped as opposed to casewise data throughout the book

· Updated discussion of the properties and appropriate use of goodness of fit measures, R2 analogues, and indices of predictive efficiency

· Discussion of the misuse of odds ratios to represent risk ratios, and of overdispersion and underdispersion for grouped data

· Updated coverage of unordered and ordered polytomous logistic regression models.

Series Editor's Introduction
Author's Introduction to the Second Edition
1. Linear Regression and Logistic Regression Model
2. Summary Statistics for Evaluating the Logistic Regression Model
3. Interpreting the Logistic Regression Coefficients
4. An Introduction to Logistic Regression Diagnosis
Ch 5. Polytomous Logistic Regression and Alternatives to Logistic Regression
6. Notes
Appendix A

Preview this book

For instructors

Purchasing options

Please select a format:

ISBN: 9780761922087

SAGE Knowledge is the ultimate social sciences digital library for students, researchers, and faculty. Hosting more than 4,400 titles, it includes an expansive range of SAGE eBook and eReference content, including scholarly monographs, reference works, handbooks, series, professional development titles, and more.

The platform allows researchers to cross-search and seamlessly access a wide breadth of must-have SAGE book and reference content from one source.

SAGE Knowledge brings together high-quality content from across our imprints, including CQ Press and Corwin titles.