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Abstract Details
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Activity Number:
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612
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Statistical Graphics
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| Abstract - #306587 |
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Title:
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Seeing the Forest for the Trees: Graphical Methods for Logic Forest
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Author(s):
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Bethany Wolf*+ and Elizabeth G. Hill and Elizabeth H. Slate
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Companies:
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Medical University of South Carolina and Medical University of South Carolina and Florida State University
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Address:
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135 Cannon Street, Charleston, SC, 29425, United States
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Keywords:
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ensemble methods ;
logic regression ;
graphical techniques ;
biomarkers
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Abstract:
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Logic Forest, an ensemble version of logic regression, enables discovery of combinations of binary biomarkers associated with disease. These biomarker combinations may provide improved sensitivity and specificity over single markers, enabling physicians to better diagnose asymptomatic individuals or identify individuals at risk of developing disease. There are limited graphical methods for displaying the results of fitted ensemble models, however, making clinical interpretation difficult. We present graphical methods for visualizing relationships among predictors identified using a Logic Forest model. We demonstrate these graphical techniques on simulated data and illustrate by exploration of associations between genetic and health factors with periodontal disease in a population of diabetic African Americans.
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