Logistic regression : from introductory to advanced concepts and applications / Scott Menard.

Includes bibliographical references (pages 358-368) and indexes.

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.