Results 281 to 290 of about 2,344,066 (336)

ROC curves and the binormal assumption

The Journal of Neuropsychiatry and Clinical Neurosciences, 1991
Previous articles in this series have described how receiver operating characteristic (ROC) graphs provide comprehensive graphic representations of the diagnostic performance of non-binary tests and have explained how one constructs "trapezoidal" ROC graphs in which discrete cutoff points are plotted and connected with line segments.
E, Somoza, D, Mossman
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Regression Models for Convex ROC Curves

Biometrics, 2000
Summary. The performance of a diagnostic test is summarized by its receiver operating characteristic (ROC) curve. Under quite natural assumptions about the latent variable underlying the test, the ROC curve is convex. Empirical data on a test's performance often comes in the form of observed true positive and false positive relative frequencies under ...
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Regional confidence bands for ROC curves

Statistics in Medicine, 2000
The performance of a diagnostic test is characterised by its specificity and sensitivity. For a quantitative diagnostic test these criteria depend on the selected cut-off point. The receiver operating characteristic (ROC) curve of a quantitative diagnostic test is generated by plotting sensitivity against specificity as the cut-off point runs through ...
K, Jensen, H H, Müller, H, Schäfer
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The meaning and use of the area under a receiver operating characteristic (ROC) curve.

Radiology, 1982
J. Hanley, B. McNeil
semanticscholar   +1 more source

[ROC curve].

Semergen, 2022
J. A. Martínez Pérez, P. S. Pérez Martín   +1 more
semanticscholar   +1 more source

The use of the area under the ROC curve in the evaluation of machine learning algorithms

Pattern Recognition, 1997
A. Bradley
semanticscholar   +1 more source

Targeting the poor using ROC curves

World Development, 1997
Abstract This paper compares the performance of targeting indicators to identify the poor. If the ROC curve of one indicator lies above that of another, the first indicator dominates the second for all social welfare functions based on the two types of errors involved in targeting. The method is applied to Bangladesh.
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Estimating The Roc Curv

2003
Abstract Having defined the ROC curve and explored some of its properties in the previous chapter, we turn now in this chapter to statistical methodology for making inferences about the ROC curve from data. We consider three approaches for estimating the ROC curve and its summary indices.
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Estimation of a convex ROC curve

Statistics & Probability Letters, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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ROC curve

2021
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