Bartlett correction factors in logistic regression models

Lawrence H. Moulton, Lisa A. Weissfeld, Roy T. St. Laurent

Research output: Contribution to journalArticle

15 Scopus citations

Abstract

Bartlett correction factors for likelihood ratio tests of parameters in conditional and unconditional logistic regression models are calculated. The resulting tests are compared to the Wald, likelihood ratio, and score tests, and a test proposed by Moolgavkar and Venzon in Modern Statistical Methods in Chronic Disease Epidemiology. (Wiley, New York, 1986).

Original languageEnglish (US)
Pages (from-to)1-11
Number of pages11
JournalComputational Statistics and Data Analysis
Volume15
Issue number1
DOIs
StatePublished - Jan 1993
Externally publishedYes

Keywords

  • Conditional logistic regression
  • Likelihood ratio test
  • Score test
  • Wald test

ASJC Scopus subject areas

  • Statistics and Probability
  • Computational Mathematics
  • Computational Theory and Mathematics
  • Applied Mathematics

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