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:: Volume 4, Issue 2 (1-2013) ::
Caspian J Intern Med 2013, 4(2): 627-635 Back to browse issues page
Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation
Karimollah Hajian-Tilaki *
Abstract:   (5606 Views)
This review provides the basic principle and rational for ROC analysis of rating and continuous diagnostic test results versus a gold standard. Derived indexes of accuracy, in particular area under the curve (AUC) has a meaningful interpretation for disease classification from healthy subjects. The methods of estimate of AUC and its testing in single diagnostic test and also comparative studies, the advantage of ROC curve to determine the optimal cut off values and the issues of bias and confounding have been discussed.
Keywords: Sensitivity, Specificity, ROC curve, Area under the curve (AUC), Parametric, Nonparametric, Bias.
Full-Text [PDF 334 kb]   (2145 Downloads)    
Type of Study: Original Article | Subject: Infectious Diseases
Received: 2014/01/15 | Accepted: 2014/01/15 | Published: 2014/01/15
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Hajian-Tilaki K. Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation. Caspian J Intern Med. 2013; 4 (2) :627-635
URL: http://caspjim.com/article-1-193-en.html


Volume 4, Issue 2 (1-2013) Back to browse issues page
Caspian Journal of Internal Medicine
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