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Polytomous Logistic Regression

  • David G. Kleinbaum
  • Mitchel Klein
Chapter
Part of the Statistics for Biology and Health book series (SBH)

Abstract

In this chapter, the standard logistic model is extended to handle outcome variables that have more than two categories. Polytomous logistic regression is used when the categories of the outcome variable are nominal, that is, they do not have any natural order. When the categories of the outcome variable do have a natural order, ordinal logistic regression may also be appropriate.

Keywords

Logistic Regression Endometrial Cancer Likelihood Ratio Test Wald Test Ordinal Logistic Regression 
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.

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Copyright information

© Springer Science+Business Media, LLC 2010

Authors and Affiliations

  1. 1.Department of EpidemiologyEmory University Rollins School of Public HealthAtlantaUSA

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