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Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists

The receiver operating characteristic (ROC) curve, which is defined as a plot of test sensitivity as the y coordinate versus its 1-specificity or false positive rate (FPR) as the x coordinate, is an effective method of evaluating the performance of diagnostic tests. The purpose of this article is to...

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Autores principales: Park, Seong Ho, Goo, Jin Mo, Jo, Chan-Hee
Formato: Texto
Lenguaje:English
Publicado: The Korean Radiological Society 2004
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2698108/
https://www.ncbi.nlm.nih.gov/pubmed/15064554
http://dx.doi.org/10.3348/kjr.2004.5.1.11
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author Park, Seong Ho
Goo, Jin Mo
Jo, Chan-Hee
author_facet Park, Seong Ho
Goo, Jin Mo
Jo, Chan-Hee
author_sort Park, Seong Ho
collection PubMed
description The receiver operating characteristic (ROC) curve, which is defined as a plot of test sensitivity as the y coordinate versus its 1-specificity or false positive rate (FPR) as the x coordinate, is an effective method of evaluating the performance of diagnostic tests. The purpose of this article is to provide a nonmathematical introduction to ROC analysis. Important concepts involved in the correct use and interpretation of this analysis, such as smooth and empirical ROC curves, parametric and nonparametric methods, the area under the ROC curve and its 95% confidence interval, the sensitivity at a particular FPR, and the use of a partial area under the ROC curve are discussed. Various considerations concerning the collection of data in radiological ROC studies are briefly discussed. An introduction to the software frequently used for performing ROC analyses is also presented.
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spelling pubmed-26981082009-06-23 Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists Park, Seong Ho Goo, Jin Mo Jo, Chan-Hee Korean J Radiol Review The receiver operating characteristic (ROC) curve, which is defined as a plot of test sensitivity as the y coordinate versus its 1-specificity or false positive rate (FPR) as the x coordinate, is an effective method of evaluating the performance of diagnostic tests. The purpose of this article is to provide a nonmathematical introduction to ROC analysis. Important concepts involved in the correct use and interpretation of this analysis, such as smooth and empirical ROC curves, parametric and nonparametric methods, the area under the ROC curve and its 95% confidence interval, the sensitivity at a particular FPR, and the use of a partial area under the ROC curve are discussed. Various considerations concerning the collection of data in radiological ROC studies are briefly discussed. An introduction to the software frequently used for performing ROC analyses is also presented. The Korean Radiological Society 2004 2004-03-31 /pmc/articles/PMC2698108/ /pubmed/15064554 http://dx.doi.org/10.3348/kjr.2004.5.1.11 Text en Copyright © 2004 The Korean Radiological Society http://creativecommons.org/licenses/by-nc/3.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review
Park, Seong Ho
Goo, Jin Mo
Jo, Chan-Hee
Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists
title Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists
title_full Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists
title_fullStr Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists
title_full_unstemmed Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists
title_short Receiver Operating Characteristic (ROC) Curve: Practical Review for Radiologists
title_sort receiver operating characteristic (roc) curve: practical review for radiologists
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2698108/
https://www.ncbi.nlm.nih.gov/pubmed/15064554
http://dx.doi.org/10.3348/kjr.2004.5.1.11
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