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American Journal of Epidemiology Vol. 108, No. 4: 299-307
Copyright © 1978 by The Johns Hopkins University School of Hygiene and Public Health

other

ESTIMATION OF MULTIPLE RELATIVE RISK FUNCTIONS IN MATCHED CASE-CONTROL STUDIES

N. E. BRESLOW1,2,, N. E. DAY3, K. T. HALVORSEN1,, R. L. PRENTICE1,2 and C. SABAI3

1 Department of Biostatistics SC-32, University of Washington Seattle, WA 98195
2 Fred Hutchinson Cancer Research Center Seattle, WA.
3 IARC 150 Cours Albert Thomas, 69372 Lyon, France

1Reprint requests to Dr. Breslow.

A linear logistic model used to estimate multiple risk functions in both cohort and case-control studies Is adapted for sampling plans wherein each case is matched with R controls. The resulting methodology substantially liberalizes current practice by permitting simultaneous analysis of multiple discrete and continuous risk factors. Interactions among risk factors, and between risk factors and matching variables, may be explored. Data from two studies of oesophageal cancer, one conducted among Singapore Chinese and the other on the Caspian littoral of Iran, illustrate the methods.

biometry; epidemiologic methods; retrospective studies; statistics


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