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American Journal of Epidemiology Vol. 124, No. 4: 678-683
Copyright © 1986 by The Johns Hopkins University School of Hygiene and Public Health

research-article

APPLICATION OF ODDS RATIO REGRESSION MODELS FOR ASSESSING FAMILIAL AGGREGATION FROM CASE-CONTROL STUDIES

K. Y. LIANG1,, T. H. BEATY2 and B. H. COHEN2

1Department of Biostatistics, School of Hygiene and Public Health, Johns Hopkins University Baltimore, MD 21205
2Department of Epidemiology, School of Hygiene and Public Health, Johns Hopkins University Baltimore, MD

Reprint requests to Dr. K. Y. Liang

A regression model for estimating covariate effects on odds ratios to test for familial aggregation of common disease in first-degree relatives of cases and controls is presented and illustrated by using family data from a study of chronic obstructive pulmonary disease. These estimators are in essence an extension of the Mantel-Haenszel estimator of odds ratio but do not require the assumption of independence among relatives. A robust test statistic for possible effects of covariates such as the matching variables for cases and controls on odds ratio is also presented. In data on 156 adult first-degree relatives of 28 cases with demonstrated airway obstruction and 28 controls matched for age, sex, race, and hospital status, there appeared to be a difference in the odds ratio among families of black and white case-control pairs. However, the small sample size available prevents conclusive interpretation of this observation.

chronic obstructive pulmonary disease; regression analysis; risk; statistics


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