Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation
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...
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| Published in | Caspian journal of internal medicine Vol. 4; no. 2; pp. 627 - 635 |
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| Main Author | |
| Format | Journal Article |
| Language | English |
| Published |
Iran
Babol University of Medical Sciences
01.01.2013
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| Subjects | |
| Online Access | Get full text |
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| Abstract | 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. |
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| AbstractList | 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. 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.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. |
| Author | Hajian-Tilaki, Karimollah |
| AuthorAffiliation | Department of Social Medicine and Health, Babol University of Medical Sciences, Babol, Iran |
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| Keywords | Nonparametric Sensitivity Specificity Area under the curve (AUC) Bias Parametric ROC curve |
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| Title | Receiver Operating Characteristic (ROC) Curve Analysis for Medical Diagnostic Test Evaluation |
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