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Activity Number:
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67
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Type:
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Contributed
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Date/Time:
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Sunday, August 2, 2009 : 4:00 PM to 5:50 PM
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Sponsor:
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International Chinese Statistical Association
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| Abstract - #303652 |
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Title:
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Optimal Two-Stage Sequential Design for Case-Control Genetic Association Studies
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Author(s):
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Lihan K. Yan*+ and Aiyi Liu and Zhaohai Li and Gang Zheng
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Companies:
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The George Washington University and National Institute of Child Health and Human Development and The George Washington University and National Heart, Lung, and Blood Institute
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Address:
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Biostatistics Program, Department of Statistics, Washington, DC, ,
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Keywords:
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two-stage design ; MAX ; average sample size ; allocation fraction ; genetic model ; case-control studies
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Abstract:
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We investigated the cost of the sample size versus the statistical power in a case-control genetic study with a two-stage sequential design. In a typical sequential design, a single normally distributed test statistic is used. For a genetic study, the robust test is used because the underlying genetic model (e.g., the recessive, additive or dominant models) is unknown. The robust test statistic that we considered in the two-stage sequential design is the maximum of three correlated normally distributed statistics, which are optimal under the above mentioned three genetic models. We studied various factors that can affect the goal of minimizing the average sample size (ASN) or maximizing power of a genetic case-control study under the two-stage sequential design and make recommendations for the optimal solutions to different scenarios.
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