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Applied logistic regression analysis

Author: Scott W Menard
Publisher: Thousand Oaks, Calif. : Sage Publications, ©2002.
Series: Quantitative applications in the social sciences, no. 07-106.
Edition/Format:   Print book : English : 2nd edView all editions and formats
Database:WorldCat
Summary:
"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."--Pub. desc.
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Additional Physical Format: Online version:
Menard, Scott W.
Applied logistic regression analysis.
Thousand Oaks, Calif. : Sage Publications, ©2002
(OCoLC)763149002
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Scott W Menard
ISBN: 0761922083 9780761922087
OCLC Number: 46729126
Description: viii, 111 pages : illustrations ; 22 cm.
Contents: Linear Regression and the Logistic Regression Model --
Regression Assumptions --
Nonlinear Relationships and Variable Transformations --
Probabilities, Odds, Odds Ratios, and the Logit Transformation for Dichotomous Dependent Variables --
Logistic Regression: A First Look --
Summary Statistics for Evaluating the Logistic Regression Model --
R[superscript 2], F, and Sums of Squared Errors --
Goodness of Fit: G[subscript M], R[superscript 2 subscript L], and the Log Likelihood --
Predictive Efficiency: [lambda subscript p], [tau subscript p], [phi subscript p], and the Binomial Test --
Examples: Assessing the Adequacy of Logistic Regression Models --
Conclusion: Summary Measures for Evaluating the Logistic Regression Model --
Interpreting the Logistic Regression Coefficients --
Statistical Significance in Logistic Regression Analysis --
Interpreting Unstandardized Logistic Regression Coefficients --
Substantive Significance and Standardized Coefficients --
Exponentiated Coefficients or Odds Ratios --
More on Categorical Predictors: Contrasts and Interpretation --
Interaction Effects --
Stepwise Logistic Regression --
An Introduction to Logistic Regression Diagnostics --
Specification Error --
Collinearity --
Numerical Problems: Zero Cells and Complete Separation --
Analysis of Residuals --
Overdispersion and Underdispersion --
A Suggested Protocol for Logistic Regression Diagnostics --
Polytomous Logistic Regression and Alternatives to Logistic Regression --
Polytomous Nominal Dependent Variables.
Series Title: Quantitative applications in the social sciences, no. 07-106.
Responsibility: Scott Menard.
More information:

Abstract:

"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."--Pub. desc.

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