This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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43
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Type:
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Contributed
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Date/Time:
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Sunday, August 1, 2010 : 2:00 PM to 3:50 PM
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Sponsor:
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Section on Statistics in Epidemiology
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Abstract - #306750 |
Title:
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Robust Testing in Matched Case-Control Association Studies
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Author(s):
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Yong Zang*+ and Wing Kam Fung and Gang Zheng
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Companies:
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The University of Hong Kong and The University of Hong Kong and National Institutes of Health
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Address:
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, , ,
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Keywords:
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case-control ;
association study ;
matching design ;
robust tests ;
genetic model
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Abstract:
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The matched trend test (MTT) developed using a conditional logistic regression has been proposed to test for association in matched case-control studies to control the bias of known confounding effects. This test, however, may suffer from a substantial loss of power when the underlying genetic model is unknown and incorrectly specified. Thus, it is useful to derive tests obtaining the plausible power against all common genetic models. For this purpose, four robust tests-the MAX3 test, two-degrees-of-freedom test, stratified genetic model selection (SGMS) and exclusion (SGME) tests are discussed in this talk. The common feature of these tests is that they are all robust tests against genetic models while eliminating the effect of confounding factors by adopting a matching framework.
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