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Applied Logistic Regression Analysis de Scott Menard

Applied Logistic Regression Analysis: Quantitative Applications in the Social Sciences, cartea 106

Autor Scott Menard
en Limba Engleză Electronic book text – 30 dec 2001
The focus in thisSecond Editionis 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.
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Specificații

ISBN-13: 9781452208152
ISBN-10: 1452208158
Pagini: 128
Dimensiuni: 140 x 216 mm
Ediția:Second Edition
Editura: SAGE Publications
Colecția Sage Publications, Inc
Seria Quantitative Applications in the Social Sciences

Locul publicării:Thousand Oaks, United States

Cuprins

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

Descriere

The focus in thisSecond Editionis 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
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  • 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.