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Abstract Details

Activity Number: 612
Type: Contributed
Date/Time: Thursday, August 2, 2012 : 8:30 AM to 10:20 AM
Sponsor: Section on Statistical Graphics
Abstract - #306587
Title: Seeing the Forest for the Trees: Graphical Methods for Logic Forest
Author(s): Bethany Wolf*+ and Elizabeth G. Hill and Elizabeth H. Slate
Companies: Medical University of South Carolina and Medical University of South Carolina and Florida State University
Address: 135 Cannon Street, Charleston, SC, 29425, United States
Keywords: ensemble methods ; logic regression ; graphical techniques ; biomarkers

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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