Applied Logistic Regression Analysis
2nd Edition
Published on 5. December 2001
Book
Paperback/Softback
128 pages
978-0-7619-2208-7 (ISBN)
Description
The focus in this Second Edition is again on logistic regression models for individual level data, but aggregate or grouped data are also considered. The book includes detailed discussions of goodness of fit, indices of predictive efficiency, and standardized logistic regression coefficients, and examples using SAS and SPSS are included.
More detailed consideration of grouped as opposed to case-wise data throughout the book
Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency
Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data
Updated coverage of unordered and ordered polytomous logistic regression models.
More detailed consideration of grouped as opposed to case-wise data throughout the book
Updated discussion of the properties and appropriate use of goodness of fit measures, R-square analogues, and indices of predictive efficiency
Discussion of the misuse of odds ratios to represent risk ratios, and of over-dispersion and under-dispersion for grouped data
Updated coverage of unordered and ordered polytomous logistic regression models.
More details
Series
Edition
2nd Revised edition
Language
English
Place of publication
Thousand Oaks
United States
Target group
College/higher education
Edition type
Revised edition
Dimensions
Height: 216 mm
Width: 140 mm
Thickness: 7 mm
Weight
162 gr
ISBN-13
978-0-7619-2208-7 (9780761922087)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Previous edition
Scott Menard
Applied Logistic Regression Analysis
Book
08/1995
1st Edition
SAGE Publications Inc
€34.87
Article exhausted; check for reprint
Person
Scott Menard is a Professor of Criminal Justice at Sam Houston State University and a research associate in the Institute of Behavioral Science at the University of Colorado, Boulder. He received his A.B. at Cornell University and his Ph.D. at the University of Colorado, Boulder, both in Sociology. His interests include quantitative methods and statistics, life course criminology, substance abuse, and criminal victimization. His publications include Longitudinal Research (second edition Sage 2002), Applied Logistic Regression Analysis (second edition Sage 2002), Good Kids from Bad Neighborhoods (Cambridge University Press 2006, with Delbert S. Elliott, Bruce Rankin, Amanda Elliott, William Julius Wilson, and David Huizinga), Youth Gangs (Charles C. Thomas 2006, with Robert J. Franzese and Herbert C. Covey), and the Handbook of Longitudinal Research (Elsevier 2008), as well as other books and journal articles in the areas of criminology, delinquency, population studies, and statistics.
Content
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
References
Tables
Figures
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
References
Tables
Figures