Determining the Area under the ROC Curve for a Binary Diagnostic Test-Reference-Cited by-同舟云学术

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

Published:2000-10 Issue:4 Volume:20 Page:468-470
ISSN:0272-989X
Container-title:Medical Decision Making
language:en
Short-container-title:Med Decis Making

Author:

Cantor Scott B.¹,Kattan Michael W.¹

Affiliation:

1. 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 ()

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)

Publisher

SAGE Publications

Subject

Health Policy

Link

http://journals.sagepub.com/doi/pdf/10.1177/0272989X0002000410

Reference9 articles.

1. Basic principles of ROC analysis

2. A Comparison of C/B Ratios from Studies Using Receiver Operating Characteristic Curve Analysis

3. REGRET GRAPHS, DIAGNOSTIC UNCERTAINTY AND YOUDEN'S INDEX

4. Slawin KM, Kattan MW, Scher HI, Scardino PT Prostate-specific antigen in screening, prognosis of the primary tumor and monitoring of recurrent disease. In: Perry MC (ed). 2000 Spring Educational Book . Alexandria, VA: American Society of Clinical Oncology , 2000:596-608.

5. Sample size calculations in studies of test accuracy

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