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Journal of Clinical Epidemiology, 2023
An accuracy study of a test that produces a wide range of results will often present a receiver operating characteristic (ROC) curve and report the area under the ROC curve (AUROC). The AUROC is a summary measure of how well the test discriminates between those with the condition or disease in question and those without it.
Michael A. Kohn, Thomas B. Newman
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An accuracy study of a test that produces a wide range of results will often present a receiver operating characteristic (ROC) curve and report the area under the ROC curve (AUROC). The AUROC is a summary measure of how well the test discriminates between those with the condition or disease in question and those without it.
Michael A. Kohn, Thomas B. Newman
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Receiver Operator Characteristic (ROC) Curves
Infection Control & Hospital Epidemiology, 1988The goal of diagnostic testing is to identify patients with a particular disease. Often, it is just as important that the test not mistakenly identify healthy persons as having disease. For example, a new test for the acquired immunodeficiency syndrome (AIDS) might identify 99.99% of all patients infected with the human ...
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A Boolean Algebra of receiver operating characteristic curves
2007 10th International Conference on Information Fusion, 2007A reasonable starting place for developing decision fusion rules of families of classification systems is using the logical AND and OR rules. These two rules, along with the unary rule NOT, can lead to a Boolean algebra when a number of properties are shown to exist.
Mark E. Oxley +2 more
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The area under the generalized receiver-operating characteristic curve
The International Journal of Biostatistics, 2021Abstract The receiver operating-characteristic (ROC) curve is a well-known graphical tool routinely used for evaluating the discriminatory ability of continuous markers, referring to a binary characteristic. The area under the curve (AUC) has been proposed as a summarized accuracy index.
Pablo Martínez-Camblor +2 more
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Confidence Bands for Receiver Operating Characteristic Curves
Medical Decision Making, 1993Receiver operating characteristic (ROC) curves are mapped out by the two types of errors that are generated by varying the decision threshold used to determine which subjects will be considered abnormal. Under the conventional binormal model for the ROC curve, two- sided and one-sided simultaneous confidence bands for an entire ROC curve, or for a ...
G, Ma, W J, Hall
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Understanding receiver operating characteristic (ROC) curves
CJEM, 2006In this issue of the Journal, Auer and colleagues conclude that serum levels of neuron-specific enolase (NSE), a biochemical marker of ischemic brain injury, may have clinical utility for the prediction of survival to hospital discharge in patients experiencing the return of spontaneous circulation following at least 5 minutes of cardiopulmonary ...
Jerome, Fan +2 more
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Copula modeling of receiver operating characteristic and predictiveness curves
Statistics in Medicine, 2020Receiver operating characteristic (ROC) and predictiveness curves are graphical tools to study the discriminative and predictive power of a continuous‐valued marker in a binary outcome. In this paper, a copula‐based construction of the joint density of the marker and the outcome is developed for plotting and analyzing both curves.
Gabriel Escarela +2 more
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Receiver operating characteristic curves
BMJ, 2011Researchers evaluated the performance of a cognitive test called “test your memory” as a screening test for Alzheimer’s disease. The screening test is designed to use minimal operator time and to be suitable for non-specialist use. It is self administered under medical supervision.
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