Logistic regression : from introductory to advanced concepts and applications /
Scott Menard.
- Los Angeles : SAGE, 2010.
- xiii, 377 pages : illustrations ; 24 cm.
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.