Logistic regression from introductory to advanced concepts and applications
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Los Angeles
Name of Publisher, Distributor, etc.
SAGE
Date of Publication, Distribution, etc.
c2010
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
xiii, 377 p.: ill. ; 24 cm.
GENERAL NOTES
Text of Note
Includes bibliographical references )p. 358-368( and indexes
NOTES PERTAINING TO TITLE AND STATEMENT OF RESPONSIBILITY
Text of Note
Scott Menard
CONTENTS NOTE
Text of Note
Introduction : linear regression and logistic regression -- Log-linear analysis, logit analysis, and logistic regression -- Quantitative approaches to model fit and explained variation -- Prediction tables and qualitative approaches to explained variation -- Logistic regression coefficients -- Model specification, variable selection, and model building -- Logistic regression diagnostics and problems of inference -- Path analysis with logistic regression )PALR( -- Polytomous logistic regression for unordered categorical variables -- Ordinal logistic regression -- Clusters, contexts, and dependent data : logistic regression for clustered sample survey data -- Conditional logistic regression models for related samples -- Longitudinal panel analysis with logistic regression -- Logistic regression for historical and developmental change models : multilevel logistic regression and discrete time event history analysis -- Comparisons : logistic regression and alternative models