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Abstract Details
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Activity Number:
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330
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 2, 2011 : 10:30 AM to 12:20 PM
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Sponsor:
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Biometrics Section
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| Abstract - #303154 |
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Title:
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Group LASSO in Nested Case-Control Studies
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Author(s):
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Mengling Liu*+
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Companies:
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New York University
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Address:
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, , ,
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Keywords:
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Nested case-control study ;
Risk-set sampling ;
Spline regression ;
Variable selection
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Abstract:
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Prominent for its merit of being cost effective in studying the association between disease and its risk factors, the nested case-control (NCC) design has been commonly used in large cancer epidemiology studies. When a large number of genetic, environmental, and clinical covariates are available, the dimension of predictors under consideration can easily grow enormously. Moreover, effects of risk factors on the disease may be nonlinear. In this paper, we develop an effective variable selection procedure to building models that provide better risk assessment and model interpretation with NCC data using the group lasso technique. Extensive simulations are conducted to evaluate the finite sample performance of our proposed approach. We further demonstrate the proposed method with data from an NCC study in the New York University Women's Health Study.
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Authors who are presenting talks have a * after their name.
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