Receiver operating characteristic curve
A receiver operating characteristic (ROC) curve is a plot of tradeoff between sensitivity and specificity. It is a plot that evaluates a diagnostic test for a continuous variable between diseased and non-diseased subjects.
Anita Singh +2 more
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Receiver operating characteristic curve analysis in diagnostic accuracy studies: A guide to interpreting the area under the curve value [PDF]
This review article provides a concise guide to interpreting receiver operating characteristic (ROC) curves and area under the curve (AUC) values in diagnostic accuracy studies.
Şeref Kerem Çorbacıoğlu +1 more
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Receiver operating characteristic curve: overview and practical use for clinicians [PDF]
Using diagnostic testing to determine the presence or absence of a disease is essential in clinical practice. In many cases, test results are obtained as continuous values and require a process of conversion and interpretation and into a dichotomous form
Francis Sahngun Nahm
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Estimation and Comparison of Receiver Operating Characteristic Curves [PDF]
The receiver operating characteristic (ROC) curve displays the capacity of a marker or diagnostic test to discriminate between two groups of subjects, cases versus controls. We present a comprehensive suite of Stata commands for performing ROC analysis. Nonparametric, semiparametric, and parametric estimators are calculated.
Holly Janes +2 more
exaly +3 more sources
Receiver operating characteristic curve analysis of clinical signs for screening of convergence insufficiency in young adults. [PDF]
Convergence insufficiency (CI) is a dysfunction of binocular vision that is associated with various signs and symptoms in near work. However, CI screening is performed less frequently in adults than in children.
Byeong-Yeon Moon +2 more
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Performance metrics are measures of success or performance that can be used to evaluate how well a model makes accurate predictions or classifications.
Aylin Gocoglu +2 more
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Beyond Area Under the Receiver Operating Characteristic Curve: Evaluating Predictive Performance Metrics Under Class Imbalance in Real-World Clinical Data. [PDF]
Ventura VDGJ +11 more
europepmc +2 more sources
Likelihood-Based Non-Parametric Receiver Operating Characteristic Curve Analysis in the Presence of Imperfect Reference Standard. [PDF]
Sun Y, Sang P, Tian Q, Li P.
europepmc +4 more sources
On the Appropriate Classification of Discriminative Power Categories When Performing the Receiver Operating Characteristic Curve Analysis. [PDF]
Nezic D.
europepmc +2 more sources
Estimation of receiver operating characteristic curve when case and control require different transformations for normality. [PDF]
Cai X, Zhang W, Li H, Li Z, Liu A.
europepmc +3 more sources

