Abstract Details
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Activity Number:
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474
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Type:
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Invited
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Date/Time:
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Wednesday, August 6, 2014 : 10:30 AM to 12:20 PM
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Sponsor:
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WNAR
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Abstract #310729
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Title:
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Discovery Among Binary Biomarkers
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Author(s):
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Elizabeth H. Slate*+ and Junxian Geng and Bethany A. Wolf and Elizabeth G. Hill
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Companies:
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Florida State University and Florida State University and Medical University of South Carolina and Medical University of South Carolina
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Keywords:
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Logic regression ;
population heterogeneity ;
latent class ;
Dirichlet process mixture model
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Abstract:
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We address recent methods for discovery of biomarkers associated with disease status or prognosis. When the biomarkers are binary, the technique of logic regression seeks Boolean combinations of the markers strongly associated with outcome. The interpretability of these Boolean marker combinations and, potentially, additional interactions with environmental and behavioral characteristics, is appealing and can provide insight about the disease or therapeutic process. We discuss two extensions of logic regression, the first a bagged ensemble and the second designed to accommodate subpopulation heterogeneity. We illustrate the performance of these methods with simulation and discuss applications.
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Authors who are presenting talks have a * after their name.
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