The impact of correlated readings on the estimation of the average area under readers' ROC curves

Matthew Hall and Matthew Mayo

Journal of Applied Statistics, 2005, vol. 32, issue 2, 117-125

Abstract: Receiver operating characteristic (ROC) analysis has been used in a variety of settings since it was first declassified by the United States government over 60 years ago. One venue in which it has received particular attention is in the field of radiology. In radiology, as in other areas of application, ROC analysis is used to assess the ability of a diagnostic test to distinguish between two opposing states. One useful descriptor in ROC analysis is the area under the ROC curve. At times, it is useful and insightful to average ROC curves in order to create a single curve that summarizes all of the data from multiple readers. In this paper, we investigate the impact of correlated readings on the average area under two readers' ROC curves using several common averaging strategies, and then apply the results to a radiologic study.

Keywords: Receiver operating characteristic curve; correlated data (search for similar items in EconPapers)
Date: 2005
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DOI: 10.1080/02664760500054152

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