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