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April 1, 1982Radiology

The meaning and use of the area under a receiver operating characteristic (ROC) curve.

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Authors

JHJ A HanleySan Diego State UniversityBMBarbara J. McNeilEast Tennessee State University

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Overview

Demonstrates methods to interpret the area under a ROC curve for diagnostic accuracy in health assessments, indicating its statistical significance.

Key Points

  • The aim is to interpret the area under a ROC curve and its implications for diagnostic accuracy.
  • Presentation of a mathematical approach to the ROC curve based on patient characteristics.
  • Derivation of closed-form expressions for standard error related to the area under the ROC curve.
  • Guidance on determining appropriate sample sizes for reliable area estimation.
  • Demonstrated that the area under the ROC curve represents the probability of correctly ranking diseased versus non-diseased subjects.
  • Established a link between ROC area and the nonparametric Wilcoxon statistic.
  • Provided formulae for calculating standard errors and guidance on sample sizes to detect diagnostic accuracy differences.

Cite This Study

Hanley et al. (1982) studied this question.

synapsesocial.com/papers/6985d5ffd5ebcb2b6d59548ehttps://doi.org/10.1148/radiology.143.1.7063747
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Also Consider

Synapse has enriched 4 closely related papers on similar clinical questions. Consider them for comparative context:

  1. 1ROC Analysis Applied to the Evaluation of Medical Imaging Techniques1979 · 703 citations
  2. 2Radiographic Applications of Receiver Operating Characteristic (ROC) Curves1974 · 204 citations
  3. 3Assessment of Diagnostic Technologies1985 · 293 citations
  4. 4Decision-Making Studies in Patient Management1971 · 237 citations