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Activity Number:
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504
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Type:
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Contributed
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Date/Time:
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Thursday, August 2, 2007 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #308499 |
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Title:
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Statistical Evaluation of Diagnostic Accuracy in Multiple Diagnostic Markers
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Author(s):
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Mi-Chia Ma*+ and Kun-Cheng Lin
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Companies:
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National Cheng Kung University and National Cheng Kung University
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Address:
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No. 1 Ta-Hsueh Rd., Tainan, 70101, Taiwan
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Keywords:
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diagnostic accuracy ; the area under multivariate ROC curve ; nonparametric estimation ; the random effect model
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Abstract:
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This paper studies the problem of estimating the diagnostic accuracy when several diagnostic markers are used to detect a disease. The area under multivariate ROC curve or the volume under multivariate ROC surface is used to measure the diagnostic accuracy. A nonparametric estimator of the diagnostic accuracy and its variance are proposed. A model-based estimate of the diagnostic accuracy and its variance are also derived based on the random effect model. The model-based estimate is compared with the nonparametric estimator by the mean square error. The approximated confidence intervals are derived and evaluated by the nominal coverage probability based on a simulation study. The simulation results show that the mean square error of the model-based estimator is smaller than that of the nonparametric estimator. Finally, the proposed method is applied to a real data for example.
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