Abstract Details
Activity Number:
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374
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Type:
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Contributed
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Date/Time:
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Tuesday, August 11, 2015 : 10:30 AM to 12:20 PM
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Sponsor:
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Section on Medical Devices and Diagnostics
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Abstract #317936
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Title:
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A Nonparametric Test for Comparing ROC Curves from a Paired Design
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Author(s):
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María Carmen Pardo* and Alba María Franco-Pereira
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Companies:
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Complutense University of Madrid and Complutense University of Madrid
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Keywords:
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receiver operating characteristic ;
summary measure ;
two-sample nonparametric test ;
diagnostic marker
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Abstract:
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When measurements on two diagnostic markers are available, a question of interest is which marker best discriminates between healthy and disease subjects. The most commonly approach to comparing ROC curves is to test the equality of a summary measure from the ROC curves, such as the area under the curve. In this work, we propose a nonparametric test to test equality of two ROC curves which has higher power than the conventional DeLong test and other known nonparametric test.
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Authors who are presenting talks have a * after their name.
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