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.
CITATION STYLE
Grzybowski, M., & Younger, J. G. (1997). Statistical methodology: III. Receiver operating characteristic (ROC) curves. Academic Emergency Medicine, 4(8), 818–826. https://doi.org/10.1111/j.1553-2712.1997.tb03793.x
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