Receiver operating characteristic (ROC) curve for medical researchers

By Rajeev Kumar, A. Indrayan. Indian Pediatrics, 2011

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Sample size estimation in diagnostic test studies of biomedical informatics (2014, background): “It can be the combination of tests that may be available in clinical follow up, surgical verification, autopsy, and biopsy or by panel of experts [5,6].”
Validating the Beck Depression Inventory-II in Indonesia's general population and coronary heart disease patients (2013, background): “The location of an optimal cut-off point is the point at which the weight of sensitivity and specificity is equal (Kumar & Indrayan, 2011).”
Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation. (2013, methodology): “This curve plays a central role in evaluating diagnostic ability of tests to discriminate the true state of subjects, finding the optimal cut off values, and comparing two alternative diagnostic tasks when each task is performed on the same subject (5-7).”