Exploring simple independent action in multifactor tables of proportions

W. W. Piegorsch, C. R. Weinberg, B. H. Margolin

Research output: Contribution to journalArticle

9 Scopus citations

Abstract

The problem of assessing synergistic or antagonistic departure from simple independent action in multifactor tables of proportions is discussed. A generalized linear model is employed in which additivity corresponds to simple independent action. Data-analytic strategies are proposed for exploring departures from simple independent action in various extensions of the 2 x 2 table of proportions. This methodology is illustrated with a series of models fitted to cellular differentiation and murine toxicity data.

Original languageEnglish (US)
Pages (from-to)595-603
Number of pages9
JournalBiometrics
Volume44
Issue number2
DOIs
StatePublished - Jan 1 1988
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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