Adjusted Coefficients of Determination for Logistic Regression

Research output: Contribution to journalArticle

34 Citations (Scopus)

Abstract

This article proposes two adjusted coefficients of determination for logistic regression for measuring the strength of association between the outcome variable and the predictors as an extension of a similar concept in linear regression. The proposed adjusted coefficients correct the overestimation problem of the unadjusted coefficients and are especially useful when the sample size is small or the number of predictors is large. An R program is provided on the Internet.

Original languageEnglish (US)
Pages (from-to)161-165
Number of pages5
JournalAmerican Statistician
Volume57
Issue number3
DOIs
StatePublished - Jan 1 2003

Fingerprint

Coefficient of Determination
Logistic Regression
Predictors
Coefficient
Linear regression
Sample Size
Coefficients
Logistic regression
Concepts

All Science Journal Classification (ASJC) codes

  • Statistics and Probability
  • Mathematics(all)
  • Statistics, Probability and Uncertainty

Cite this

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Adjusted Coefficients of Determination for Logistic Regression. / Liao, Jiangang (Jason); McGee, Dan.

In: American Statistician, Vol. 57, No. 3, 01.01.2003, p. 161-165.

Research output: Contribution to journalArticle

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