title: Exploring simple independent action in multifactor tables of proportions.
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.
authors.affiliation: Division of Biometry and Risk Assessment, National Institute of Environmental Health Sciences, Research Triangle Park, North Carolina 27709.
authors.forename: W W
authors.initials: WW
authors.lastname: Piegorsch
authors.forename: C R
authors.initials: CR
authors.lastname: Weinberg
authors.forename: B H
authors.initials: BH
authors.lastname: Margolin
mesh_terms: D000818:Animals; D001699:Biometry / Q000379:methods*; D002454:Cell Differentiation / Q000187:drug effects; D006801:Humans; D066298:In Vitro Techniques; D008223:Lymphoma / Q000401:mortality / Q000628:therapy; D051379:Mice; D008954:Models, Biological; D008962:Models, Theoretical; D011336:Probability