Journal
JOURNAL OF THORACIC ONCOLOGY
Volume 5, Issue 9, Pages 1315-1316Publisher
ELSEVIER SCIENCE INC
DOI: 10.1097/JTO.0b013e3181ec173d
Keywords
Sensitivity; Specificity; ROC; AUC
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The performance of a diagnostic test in the case of a binary predictor can be evaluated using the measures of sensitivity and specificity However, in many instances, we encounter predictors that are measured on a continuous or ordinal scale In such cases, it is desirable to assess performance of a diagnostic test over the range of possible cutpoints for the predictor variable This is achieved by a receiver operating characteristic (ROC) curve that includes all the possible decision thresholds from a diagnostic test result In this brief report, we discuss the salient features of the ROC curve. as well as discuss and interpret the area under the ROC curve, and its utility in comparing two different tests or predictor variables of interest
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