Taylor's Library Banner
Image from Google Jackets

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

By: Publication details: Los Angeles : SAGE, c2010.Description: xiii, 377 p. : ill. ; 24 cmISBN:
  • 9781412974837 (hbk.)
  • 1412974836 (hbk.)
  • 9781412971195 (pbk.)
  • 1412971195 (pbk.)
Subject(s): DDC classification:
  • 519.536 MEN 2010
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.
Holdings
Cover image Item type Current library Home library Collection Shelving location Shelf location Call number Materials specified Vol info Copy number Status Notes Date due Barcode Item holds Item hold queue priority Course reserves
Main Collection Taylor's Library-TU

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

 519.536 MEN 2010 (Browse shelf(Opens below)) 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.