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Applied Logistic Regression Analysis
About this book
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.
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Yes, you can access Applied Logistic Regression Analysis by Scott Menard in PDF and/or ePUB format, as well as other popular books in Social Sciences & Social Science Research & Methodology. We have over one million books available in our catalogue for you to explore.
Information
Publisher
SAGE Publications, IncYear
2001Print ISBN
9780761922087, 9781483347226eBook ISBN
9781544332581Table of contents
- Cover page
- Title
- Copyright
- Contents
- Series Editor’s Introduction
- Author’s Introduction to the Second Edition
- 1. Linear Regression and the Logistic Regression Model
- 2. Summary Statistics for Evaluating the Logistic Regression Model
- 3. Interpreting the Logistic Regression Coefficients
- 4. An Introduction to Logistic Regression Diagnostics
- 5. Polytomous Logistic Regression and Alternatives to Logistic Regression
- Notes
- Appendix: Probabilities
- References
- About the Author