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Activity Number: 253
Type: Contributed
Date/Time: Monday, July 30, 2012 : 2:00 PM to 3:50 PM
Sponsor: Biometrics Section
Abstract - #306594
Title: A Simple Pseudo--Maximum Likelihood Estimate for the Binormal ROC Curve
Author(s): Huining Kang*+ and Edward J Bedrick
Companies: University of New Mexico and University of New Mexico
Address: 1131 Titleist Dr. NE, Albuquerque, NM, 87112, United States
Keywords: ROC curve ; Pseudo maximum likelihood estimator ; Semiparametric estimator

Binormal ROC curves play an important role in evaluating the performance of a diagnostic test and the association of the covariates with the diagnostic test. Many semi-parametric approaches have been developed for estimating the binormal ROC curves. We propose a pseudo maximum likelihood estimator for the binormal ROC curve and provide asymptotic distribution theory for it. The proposed estimator has a simple closed-form solution unlike other semi-parametric estimators. Simulation results indicate that the efficiency of the new estimator is comparable to or better than that of existing estimators.

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