Abstract #301605

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JSM 2003 Abstract #301605
Activity Number: 177
Type: Contributed
Date/Time: Monday, August 4, 2003 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #301605
Title: Power and Sample Size for Case-control Studies of Gene-Environment Interactions
Author(s): Donna L. Spiegelman*+ and Roger Logan
Companies: Harvard School of Public Health and Harvard School of Public Health
Address: 677 Huntington Ave., Boston, MA, 02115-6028,
Keywords: genetics ; gene-environment interaction ; study design ; case-control study ; epidemiology
Abstract:

A new method for power and sample size calculations for studies of gene-environment interactions of a binary genotype and ordinal exposure is proposed, and compared to previous methods, including those of Foppa and Spiegelman (1997), Lubin and Gail (1990), and Greenland (1983). These methods differ in the assumptions that are made about the values of the main effects of exposure and genotype under the null and alternative hypotheses. In the new method the null values are set to the values obtained or expected from data not mutually adjusted for gene and environmental effects, and the alternative values of the parameters are solved for as a function of the other design parameters specified. This procedure for fixing assumptions about these nuisance parameters most accurately utilizes the information available at the planning stage of such studies. In addition, the new method gives smaller sample sizes and higher power in some realistic examples. A fully documented, user-friendly program implementing the new method can be downloaded from the first author's web site, http://www.hsph.harvard.edu/faculty/spiegelman/ge\_trend.html.

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