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Activity Number:
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130
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Type:
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Invited
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Date/Time:
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Monday, August 7, 2006 : 10:30 AM to 12:20 PM
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Sponsor:
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General Methodology
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| Abstract - #305200 |
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Title:
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Maximum-Likelihood Inference on a Mixed Conditionally and Marginally Specified Regression Model in Genetic Epidemiologic Studies with Two-Phase Sampling
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Author(s):
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Nilanjan Chatterjee*+ and Yi-Hau Chen
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Companies:
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National Cancer Institute and Academia Sinica
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Address:
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6120 Executive Blvd., EPS 8038, Rockville, MD, 20852,
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Keywords:
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case-control study ; gene-environment interaction ; missing data ; outcome dependent sampling ; semiparametric estimation
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Abstract:
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Two-phase sampling can reduce the cost of genetic epidemiologic studies by limiting expensive ascertainments of genetic and environmental exposure to an efficiently selected subsample (phase II) of the main study (phase I). Case-control status, family history, and other covariate information may be used for sampling of informative subjects at phase II. We develop a maximum-likelihood method for analysis of data from such studies using a novel regression model that permits the estimation of 'marginal' risks associated with the genetic and environmental covariates while simultaneously characterizing the 'conditional' risk of the disease associated with family history after adjusting for the covariates. The methods are developed with and without an assumption of gene-environment independence. Performances of the methods are studied using both real and simulated data.
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