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American Journal of Epidemiology Vol. 126, No. 5: 949-961
Copyright © 1987 by The Johns Hopkins University School of Hygiene and Public Health

research-article

GENERAL RELATIVE RISK REGRESSION MODELS FOR EPIDEMIOLOGIC STUDIES1

SURESH H. MOOLGAVKAR and DAVID J. VENZON

Reprint requests to Dr. Suresh H. Moolgavkar

Three parametric families of relative risk functions for the analysis of casecontrol data are discussed. A desirable feature for any general relative risk function Is that inference based on It be independent of the coding of a binary covariate. Only one of the three families considered has this property. Addition ally, when the relative risk is not multiplicative, methods of inference based on the asymptotic covarlance matrix are likely to be seriously misleading unless the sample size Is very large, as has been noted previously in other papers. This is Illustrated by means of examples. Likelihood-based procedures should routinely be employed when nonmultipllcatlve relative risk functions are used for analysis of case-control data.

blometry; retrospective; studies; statistics

1The Fred Hutchinson Cancer Research Center, Division of Public Health Sciences, 1124 Columbia Street, Seattle, WA 98104.


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