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Abstract Details
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Activity Number:
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462
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Type:
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Contributed
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Date/Time:
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Wednesday, August 3, 2011 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Bayesian Statistical Science
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| Abstract - #301955 |
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Title:
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Regression Splines for 1-1 Matched Case-Control Studies with Measurement Error
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Author(s):
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Nels Johnson*+ and Inyoung Kim
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Companies:
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Virginia Polytechnic Institute and State University and Virginia Polytechnic Institute and State University
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Address:
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, Blacksburg, VA, 24060,
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Keywords:
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measurement error ;
matched case-control study ;
Bayesian methods ;
regression splines
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Abstract:
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In epidemiological research, matched case-control studies are popular. Measurement error of covariates is a modeling problem that often needs to be addressed. We adapt a Bayesian method for regression splines in the presence of measurement error for use in 1-1 matched case-control studies. We also discuss some methods to address computational issues that arise when using this method.
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