Statistical Methodology: III. Receiver Operating Characteristic (ROC) Curves
Article first published online: 29 SEP 2008
© 1997 Society for Academic Emergency Medicine
Academic Emergency Medicine
Volume 4, Issue 8, pages 818–826, August 1997
How to Cite
Grzybowski, M. and Younger, J. G. (1997), Statistical Methodology: III. Receiver Operating Characteristic (ROC) Curves. Academic Emergency Medicine, 4: 818–826. doi: 10.1111/j.1553-2712.1997.tb03793.x
- Issue published online: 29 SEP 2008
- Article first published online: 29 SEP 2008
- Received:September 25, 1995, revision received September 10, 1996, accepted January 24, 1997; updated: March 11, 1997
- receiver operating characteristic curves;
- ROC curves;
- diagnostic test;
- statistical methodology.
Measures including sensitivity, specificity, and positive and negative predictive values have been traditionally used to assess a diagnostic test's ability to detect the presence or absence of disease. Receiver operating characteristic (ROC) curve analysis allows visual evaluation of the trade-offs between sensitivity and specificity associated with different values of the test result, or different “cutpoints” for defining a positive result. The purpose of this article is to define, construct, and interpret a ROC curve using a hypothetical example applicable to emergency medicine practice.