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Activity Number:
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470
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Type:
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Contributed
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Date/Time:
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Wednesday, August 5, 2009 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #303653 |
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Title:
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Asymptotic Bayes Factor for Genetic Association When the Underlying Genetic Model Is Unknown
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Author(s):
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Mark J. Meyer*+ and Gang Zheng
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Companies:
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National Heart, Lung, and Blood Institute and National Heart, Lung, and Blood Institute
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Address:
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6701 Rockledge Dr., Bethesda, MD, 20892-7921,
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Keywords:
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Asymptotic Bayes Factor ; Robustness ; MAX ; Case-control
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Abstract:
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In genetic association studies using case-control samples, asymptotic Bayes factors (ABF) can easily be calculated given the priors because closed forms exist. One such ABF does not depend on the underlying genetic model while the others require specification of a genetic model. We compare these ABFs when the true genetic model is known and unknown. Additionally, we will study robust ABF when a family of genetic models is plausible comparing it to the robust test statistic MAX.
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