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

Scott B. Cantor and Michael W. Kattan
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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)

Medical Decision Making, 2000, vol. 20, issue 4, 468-470

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)

Date: 2000
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Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:sae:medema:v:20:y:2000:i:4:p:468-470

DOI: 10.1177/0272989X0002000410

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