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Statistical Methodology: III. Receiver Operating Characteristic (ROC) Curves
Author(s) -
Grzybowski Mary,
Younger John G.
Publication year - 1997
Publication title -
academic emergency medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.221
H-Index - 124
eISSN - 1553-2712
pISSN - 1069-6563
DOI - 10.1111/j.1553-2712.1997.tb03793.x
Subject(s) - receiver operating characteristic , medicine , sensitivity (control systems) , diagnostic test , statistics , test (biology) , positive predicative value , predictive value , pediatrics , mathematics , paleontology , electronic engineering , engineering , biology
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.