This is the program for the 2010 Joint Statistical Meetings in Vancouver, British Columbia.

Abstract Details

Activity Number: 253
Type: Contributed
Date/Time: Monday, August 2, 2010 : 2:00 PM to 3:50 PM
Sponsor: Section on Statistics in Epidemiology
Abstract - #308918
Title: A Way to Improve the Efficiency of Determining the Optimal Cut-Point
Author(s): Qin Liu*+
Companies: University of Massachusetts Medical School
Address: 133 Jackson Street, Jefferson, MA, 01522,
Keywords: optimal cut-point ; ROC ; C-statistic ; discriminant analysis
Abstract:

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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