Determining the Area under the ROC Curve for a Binary Diagnostic Test
- 1 October 2000
- journal article
- research article
- Published by SAGE Publications in Medical Decision Making
- Vol. 20 (4) , 468-470
- https://doi.org/10.1177/0272989x0002000410
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)Keywords
This publication has 7 references indexed in Scilit:
- Comparing diagnostic tests: a simple graphic using likelihood ratiosStatistics in Medicine, 2000
- A Comparison of C/B Ratios from Studies Using Receiver Operating Characteristic Curve AnalysisJournal of Clinical Epidemiology, 1999
- Sample size calculations in studies of test accuracyStatistical Methods in Medical Research, 1998
- REGRET GRAPHS, DIAGNOSTIC UNCERTAINTY AND YOUDEN'S INDEXStatistics in Medicine, 1996
- The meaning and use of the area under a receiver operating characteristic (ROC) curve.Radiology, 1982
- Basic principles of ROC analysisSeminars in Nuclear Medicine, 1978
- Maximum-likelihood estimation of parameters of signal-detection theory and determination of confidence intervals—Rating-method dataJournal of Mathematical Psychology, 1969