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Logistic regression : from introductory to advanced concepts and applications /

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Bibliographic Details
Main Author: Menard, Scott W.
Format: Book
Language:English
Published: Los Angeles : SAGE, c2010.
Subjects:
Logistic regression analysis.
Logistic distribution.
Table of 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.