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

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  • Matthew Hall
  • Matthew Mayo

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.

Suggested Citation

  • Matthew Hall & Matthew Mayo, 2005. "The impact of correlated readings on the estimation of the average area under readers' ROC curves," Journal of Applied Statistics, Taylor & Francis Journals, vol. 32(2), pages 117-125.
    • Handle: RePEc:taf:japsta:v:32:y:2005:i:2:p:117-125
    DOI: 10.1080/02664760500054152
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    References listed on IDEAS

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    1. Mei‐Ling Ting Lee & Bernard A. Rosner, 2001. "The average area under correlated receiver operating characteristic curves: a nonparametric approach based on generalized two‐sample Wilcoxon statistics," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 50(3), pages 337-344.
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