This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.
Abstract Details
Activity Number:
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253
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Type:
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Contributed
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Date/Time:
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Monday, August 2, 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 - #308918 |
Title:
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A Way to Improve the Efficiency of Determining the Optimal Cut-Point
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Author(s):
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Qin Liu*+
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Companies:
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University of Massachusetts Medical School
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Address:
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133 Jackson Street, Jefferson, MA, 01522,
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Keywords:
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optimal cut-point ;
ROC ;
C-statistic ;
discriminant analysis
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Abstract:
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To determine the optimal cut-point of a predictive biomarker for clinical use, receiver operator characteristics (ROC) analyses are needed. The regular approaches need to calculate and compare C-statistics under ROC curve of all potential cut-points of the predictive biomarker, or using stepwise regression techniques to select the most likely optimal cut-point with minimum p value and then compare its C-statistics with others to identify the optimal cut-point. Those regular approaches usually take much time to create variables for all potential cut-point and calculate ROC for each of them. To be efficient and improve the ability of locating the optimal cut-point, we extended discriminant analysis to identify the possible or at least the point that near the optimal cut-point and then using ROC technique to determine the finalized optimal cut-point. Two examples were presented.
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The address information is for the authors that have a + after their name.
Authors who are presenting talks have a * after their name.
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