Uncertainty of Measurement and Areas Over and Under the ROC Curves
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2009
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| _version_ | 1866902267611840512 |
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| author | Hatjimihail, Aristides T. |
| author_facet | Hatjimihail, Aristides T. |
| contents | <p><span class="MathematicaFormatTextForm">This Demonstration compares the ratios of the areas under the curve (AUC) and the ratios of the areas over the curve (AOC) of the receiver operating characteristic (ROC) curves of two diagnostic tests. The two tests measure the same measurand in normally distributed nondiseased and diseased populations, for </span>various values of the population means and standard deviations<span class="MathematicaFormatTextForm">, and of the uncertainty of measurement of the tests. A normal distribution of uncertainty is assumed. The uncertainty of the first test is specified. It is assumed that the uncertainty of the second test is greater than the uncertainty of the first test and varies up to a user defined upper bound. The six parameters that the user can vary using the sliders are measured in arbitrary units.</span></p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20357030 |
| institution | Zenodo |
| language | eng |
| publishDate | 2009 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Uncertainty of Measurement and Areas Over and Under the ROC Curves Hatjimihail, Aristides T. ROC Curve Measurement Uncertainty <p><span class="MathematicaFormatTextForm">This Demonstration compares the ratios of the areas under the curve (AUC) and the ratios of the areas over the curve (AOC) of the receiver operating characteristic (ROC) curves of two diagnostic tests. The two tests measure the same measurand in normally distributed nondiseased and diseased populations, for </span>various values of the population means and standard deviations<span class="MathematicaFormatTextForm">, and of the uncertainty of measurement of the tests. A normal distribution of uncertainty is assumed. The uncertainty of the first test is specified. It is assumed that the uncertainty of the second test is greater than the uncertainty of the first test and varies up to a user defined upper bound. The six parameters that the user can vary using the sliders are measured in arbitrary units.</span></p> |
| title | Uncertainty of Measurement and Areas Over and Under the ROC Curves |
| topic | ROC Curve Measurement Uncertainty |
| url | https://doi.org/10.5281/zenodo.20357030 |