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Determining the Area under the ROC Curve for a Binary Diagnostic Test

Author

Listed:
  • Scott B. Cantor

    (Address correspondence and reprint requests to Dr. Cantor: The University of Texas M. D Anderson Cancer Center, Department of Health Services Research, 1515 Holcombe Boulevard, Box 40, Houston, TX 77030-4095; telephone: (713) 745-8552; fax: (713) 792-8700; e-mail (sbcantor@mdanderson.org))

  • Michael W. Kattan

    (Address correspondence and reprint requests to Dr. Cantor: The University of Texas M. D Anderson Cancer Center, Department of Health Services Research, 1515 Holcombe Boulevard, Box 40, Houston, TX 77030-4095; telephone: (713) 745-8552; fax: (713) 792-8700; e-mail (sbcantor@mdanderson.org))

Abstract

The authors provide a simple calculation for the unbiased estimation of the area under the ROC curve for a binary diagnostic test or a continuously valued test result that is effectively used in a binary way. The formula described can be used to interpret the discriminative ability of a diagnostic test. Key words: ROC curve analysis, binary diagnostic test; discriminative ability. (Med Decis Making 2000;20:468-470)

Suggested Citation

  • Scott B. Cantor & Michael W. Kattan, 2000. "Determining the Area under the ROC Curve for a Binary Diagnostic Test," Medical Decision Making, , vol. 20(4), pages 468-470, October.
    • Handle: RePEc:sae:medema:v:20:y:2000:i:4:p:468-470
    DOI: 10.1177/0272989X0002000410
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    Citations

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    Cited by:

    1. Julianne Cassista & Julie Payne-Gagnon & Brigitte Martel & Marie-Pierre Gagnon, 2014. "Applying Theory to Understand and Modify Nurse Intention to Adhere to Recommendations regarding the Use of Filter Needles: An Intervention Mapping Approach," Nursing Research and Practice, Hindawi, vol. 2014, pages 1-8, July.
    2. Wilbert B. van den Hout, 2003. "The Area under an ROC Curve with Limited Information," Medical Decision Making, , vol. 23(2), pages 160-166, March.

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