Receiver Operating Characteristic Curves and Uncertainty of Measurement

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Main Author: Hatjimihail, Aristides T.
Format: Recurso digital
Language:English
Published: Zenodo 2007
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author Hatjimihail, Aristides T.
author_facet Hatjimihail, Aristides T.
contents <p>This Wolfram Demonstration compares two receiver operating characteristic (ROC) plots of two diagnostic tests (first test: blue plot, second test: orange plot) measuring the same measurand. The comparisons are for normally distributed nondiseased and diseased populations, for various values of the mean and standard deviation of the populations, and of the uncertainty of measurement of the tests. A normal distribution of the uncertainty is assumed. The ratio of the areas under the ROC curves of the two diagnostic tests is calculated. The six parameters that you can vary using the sliders are measured in arbitrary units.</p>
format Recurso digital
id zenodo_https___doi_org_10_5281_zenodo_18594110
institution Zenodo
language eng
publishDate 2007
publisher Zenodo
record_format zenodo
spellingShingle Receiver Operating Characteristic Curves and Uncertainty of Measurement
Hatjimihail, Aristides T.
ROC Curve
Measurement Uncertainty
Diagnostic Accuracy
<p>This Wolfram Demonstration compares two receiver operating characteristic (ROC) plots of two diagnostic tests (first test: blue plot, second test: orange plot) measuring the same measurand. The comparisons are for normally distributed nondiseased and diseased populations, for various values of the mean and standard deviation of the populations, and of the uncertainty of measurement of the tests. A normal distribution of the uncertainty is assumed. The ratio of the areas under the ROC curves of the two diagnostic tests is calculated. The six parameters that you can vary using the sliders are measured in arbitrary units.</p>
title Receiver Operating Characteristic Curves and Uncertainty of Measurement
topic ROC Curve
Measurement Uncertainty
Diagnostic Accuracy
url https://doi.org/10.5281/zenodo.18594110