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Activity Number:
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91
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Type:
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Invited
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Date/Time:
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Monday, August 3, 2009 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistics in Epidemiology
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| Abstract - #302979 |
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Title:
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Bayesian Methods for Two-Phase Studies of Gene-Environment Interaction
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Author(s):
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Bhramar Mukherjee*+
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Companies:
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University of Michigan
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Address:
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School of Public Health, 1420 Washington Heights, Ann Arbor, MI, 48109,
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Keywords:
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Two-phase ; Data Augmentation ; case-control ; association
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Abstract:
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Two-phase designs have many potential applications in studies of gene-environment interaction. In many case-control and cohort studies, all the subjects enrolled in the study are often considered as a phase I sample and genotyping or expensive bio-assays for serum or tissue samples may be carried out only on a subset of the original sample for cost-saving purposes. We focus on developing flexible Bayesian inference for two-phase studies of gene-environment interaction. We illustrate that the Bayesian approach to this problem is quite natural, as the likelihood under a two-phase design is identical to a missing data likelihood. We illustrate our methods by using data from a two-phase genetic association study of colorectal cancer.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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