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Activity Number:
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113
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Type:
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Contributed
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Date/Time:
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Monday, August 7, 2006 : 8:30 AM to 10:20 AM
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Sponsor:
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Biometrics Section
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| Abstract - #305555 |
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Title:
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Bootstrap Confidence Intervals for the Area under the ROC Curve
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Author(s):
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Gengsheng Qin*+ and Lejla Hotilovac
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Companies:
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Georgia State University and Georgia State University
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Address:
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30 Pryor Street, Atlanta, GA, 30303,
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Keywords:
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ROC ; AUC ; bootstrap ; confidence interval ; diagnostic test
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Abstract:
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The accuracy of a diagnostic test is of high importance in clinical medicine. It is measured often by the area under the ROC curve (AUC). To report this area properly, it is necessary to construct a confidence interval for its value. In this talk, we will present five bootstrap confidence intervals for the AUC. Then, we will conduct simulation studies to compare the performance of these confidence intervals with the existing confidence intervals for the AUC. The results will be compared in terms of coverage probability and average interval length. A real example will be used to illustrate application of the new methods.
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