Statistical Methodology: III. Receiver Operating Characteristic (ROC) Curves

ABSTRACT 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 t...

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Bibliographic Details
Published in:Academic emergency medicine 1997-08, Vol.4 (8), p.818-826
Main Authors: Grzybowski, Mary, Younger, John G.
Format: Article
Language:English
Subjects:
Acute Disease
Appendicitis - diagnosis
Body Temperature
Diagnosis
diagnostic test
Emergencies
Humans
Leukocyte Count
receiver operating characteristic curves
ROC Curve
ROC curves
sensitivity
Sensitivity and Specificity
specificity
statistical methodology
statistics
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Summary:ABSTRACT 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.
ISSN:1069-6563
1553-2712
DOI:10.1111/j.1553-2712.1997.tb03793.x