Introduction to Logistic Regression

  • David G. Kleinbaum
Part of the Statistics in the Health sciences book series (SBH)


This introduction to logistic regression describes the reasons for the popularity of the logistic model, the model form, how the model may be applied, and several of its key features, particularly how an odds ratio can be derived and computed for this model.


Logistic Regression Logistic Model Risk Ratio Estimate Odds Ratio Logit Transformation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer Science+Business Media New York 1994

Authors and Affiliations

  • David G. Kleinbaum
    • 1
  1. 1.Department of EpidemiologyEmory UniversityAtlantaUSA

Personalised recommendations