Abstract #300578

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JSM 2003 Abstract #300578
Activity Number: 355
Type: Topic Contributed
Date/Time: Wednesday, August 6, 2003 : 10:30 AM to 12:20 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #300578
Title: Multistage Sampling for Disease Family Registries
Author(s): Kimberly Siegmund*+
Companies: University of Southern California
Address: Department of Preventive Medicine, Los Angeles, CA, 90089-0103,
Keywords: multistage design ; genotyped proband design ; segregation analysis ; gene-environment interaction
Abstract:

Multistage sampling can be used to design a family-based disease registry where gathering information on exposure and disease in extended relatives of a sample of affected subjects would otherwise be prohibitively expensive. The diverse objectives of a registry range from characterizing measured genetic factors and gene-environment interactions, to detecting novel susceptibility genes. At each stage of sampling, the probands are classified based on previously collected data, and a subsample is selected for more detailed observation. The design can be optimized to minimize the variance of any of the model parameters, subject to a constraint on the total sample size. We describe the basic statistical theory and its application to a four-stage sampling scheme proposed for the Cooperative Family Registry for Epidemiologic Studies of Colorectal Cancer at the University of Southern California.

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