Abstract #301571

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JSM 2002 Abstract #301571
Activity Number: 22
Type: Contributed
Date/Time: Sunday, August 11, 2002 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section*
Abstract - #301571
Title: A Proportional Elasticity Model for a ROC Curve
Author(s): Grant Izmirlian*+
Affiliation(s): National Cancer Institute
Address: EPNorth, STE 3131; 6130 Executive Plaza Blvd, Bethesda, Maryland, 20892-7354, USA
Keywords: ROC curve ; semi-parametric ; optimal power
Abstract:

When evaluating a new continuous biomarker for cancer, a useful tool in measuring its capabilities at distinguishing cases from controls is the ROC curve. The ROC curve is a plot of the TPF versus the FPF. Recent literature on ROC curve models suggests that semi-parametric models should be used, and that the model should be based upon the ROC curve itself, as opposed to an ROC curve derived from biomarker models in the case and control populations. A new class of semiparametric models, based upon the percent gain in TPF at a given FPF, is proposed and demonstrated to have optimal power against alternatives of specific types. Applications to cancer screening will be presented.

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Revised March 2002