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Am J Epidemiol 2004; 159:17-22.
Copyright © 2004 by the Johns Hopkins Bloomberg School of Public Health


ORIGINAL CONTRIBUTIONS

Flexible Matching in Case-Control Studies of Gene-Environment Interactions

Catherine L. Saunders and Jennifer H. Barrett 

From the Genetic Epidemiology Division, Cancer Research UK Clinical Centre at Leeds, Leeds, United Kingdom.

Because of the lack of power of case-control study designs to detect gene-environment interactions, flexible matching has recently been proposed as a method of improving efficiency. In this paper, the authors consider a large-sample approximation method that allows estimation of the most efficient matching strategy when genotype and exposure are either independent or associated. The authors provide tables of the sample sizes required to detect gene-environment interactions if this flexible matching strategy is followed, and they make brief comparisons with other study designs.

case-control studies; epidemiologic methods; interaction; research design; statistics


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This article has been cited by other articles:


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Int J EpidemiolHome page
N. M Gatto, U. B Campbell, A. G Rundle, and H. Ahsan
Further development of the case-only design for assessing gene-environment interaction: evaluation of and adjustment for bias
Int. J. Epidemiol., October 1, 2004; 33(5): 1014 - 1024.
[Abstract] [Full Text] [PDF]


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Am J EpidemiolHome page
T. Sturmer and H. Brenner
THE AUTHORS REPLY
Am. J. Epidemiol., June 1, 2004; 159(11): 1108 - 1108.
[Full Text] [PDF]



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