An empirical assessment of saddlepoint approximations for testing a logistic regression parameter

E. J. Bedrick, J. R. Hill

Research output: Contribution to journalReview articlepeer-review

18 Scopus citations

Abstract

Saddlepoint methods provide quick and easy approximations to significance levels for conditional tests of logistic regression parameters. We evaluate the accuracies of saddlepoint approximations for three well-known conditional tests: Bartlett's test for no three-factor interaction in a 2 x 2 x 2 table, the test for trend in a series of probabilities, and the exact test of no association in stratified 2 x 2 tables with a common odds ratio. General recommendations are suggested regarding the use of saddlepoint approximations for exact conditional significance levels.

Original languageEnglish (US)
Pages (from-to)529-544
Number of pages16
JournalBiometrics
Volume48
Issue number2
DOIs
StatePublished - 1992
Externally publishedYes

ASJC Scopus subject areas

  • Statistics and Probability
  • Biochemistry, Genetics and Molecular Biology(all)
  • Immunology and Microbiology(all)
  • Agricultural and Biological Sciences(all)
  • Applied Mathematics

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