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

By: Menard, Scott W.
Publisher: Los Angeles : SAGE, c2010Description: xiii, 377 p. : ill. ; 24 cm.ISBN: 9781412974837 (hbk.); 1412974836 (hbk.); 9781412971195 (pbk.); 1412971195 (pbk.).Subject(s): Logistic regression analysis | Logistic distributionDDC classification: 519.536
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.
Item type Current location Shelf location Call number Copy number Status Notes Date due Barcode
Main Collection Taylor's Library-TU

Floor 4, Shelf 15 , Side 2, TierNo 5, BayNo 6

 519.536 MEN 2010 (Browse shelf) 1 Available SBSxx,36000,03,GR 5000099701

Includes bibliographical references (p. 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.