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

Author/creator Menard, Scott W.
Format Electronic
Publication InfoLos Angeles : SAGE,
Descriptionxiii, 377 p. : ill. ; 24 cm.
Supplemental ContentFull text available from SAGE Research Methods Core
Subjects
Logistic regression analysis.
Logistic distribution.

Contents 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.
Bibliography noteIncludes bibliographical references (p. 358-368) and indexes.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2008049935
ISBN9781412974837 ( cloth)
ISBN1412974836 ( cloth)
ISBN9781412971195 (pbk.)
ISBN1412971195 (pbk.)