Bartlett correction factors in logistic regression models

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

Research output: Contribution to journalArticle

15 Citations (Scopus)

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 - 1993
Externally publishedYes

Fingerprint

Bartlett Correction
Epidemiology
Logistic Regression Model
Likelihood Ratio Test
Logistics
Statistical methods
Chronic Disease
Score Test
Statistical method
Factors
Likelihood ratio test
Bartlett correction
Logistic regression model

Keywords

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

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Statistics, Probability and Uncertainty
  • Electrical and Electronic Engineering
  • Computational Mathematics
  • Numerical Analysis
  • Statistics and Probability

Cite this

Bartlett correction factors in logistic regression models. / Moulton, Lawrence H.; Weissfeld, Lisa A.; St Laurent, Roy T.

In: Computational Statistics and Data Analysis, Vol. 15, No. 1, 1993, p. 1-11.

Research output: Contribution to journalArticle

Moulton, Lawrence H. ; Weissfeld, Lisa A. ; St Laurent, Roy T. / Bartlett correction factors in logistic regression models. In: Computational Statistics and Data Analysis. 1993 ; Vol. 15, No. 1. pp. 1-11.
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