Logistic regression
Subtitle: from introductory to advanced concepts and applications
By: Scott Menard.
Publisher: Sage Publications; SAGE Publications, Inc
Published: 2010
Place of publication: Thousand Oaks, Calif
Language: eng
Number of pages: 392
ISBN-13: 9781412974837
Subjects: Logistic regression analysis; Logistic distribution
Notes: Includes bibliographical references and index.
Table of contents: title: Introduction : linear regression and logistic regression; title: Loglinear analysis, logit analysis, and logistic regression; title: Quantitative approaches to model fit and explained variation; title: Prediction tables and qualitative approaches to explained variation; title: Logistic regression coefficients; title: Model specification, variable selection, and model building; title: Logistic regression diagnostics and problems of inference; title: Path analysis with logistic regression; title: Polytomous logistic regression for unordered categorical variables; title: Ordinal logistic regression; title: Clusters, contexts, and dependent data : logistic regression for clustered sample survey data; title: Conditional logistic regression models for related samples; title: Longitudinal panel analysis with logistic regression; title: Logistic regression for historical and developmental change models : multilevel logistic regression and discrete time event history analysis; title: Alternatives to logistic regression.