ROC curve estimation: an overview

* This work overviews some developments on the estimation of the Receiver Operating Characteristic (ROC) curve. Estimation methods in this area are constantly being developed, adjusted and extended, and it is thus impossible to cover all topics and areas of application in a single paper. Here, we fo...

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Published inRevstat Vol. 12; no. 1; p. 1
Main Authors Goncalves, Luzia, Subtil, Ana, Oliveira, M. Rosario, de Zea Bermudez, Patricia
Format Journal Article
LanguageEnglish
Published Instituto Nacional de Estatistica 01.03.2014
Subjects
Analysis
Bayesian statistical decision theory
Curves
Medical tests
United States
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ISSN1645-6726

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Abstract * This work overviews some developments on the estimation of the Receiver Operating Characteristic (ROC) curve. Estimation methods in this area are constantly being developed, adjusted and extended, and it is thus impossible to cover all topics and areas of application in a single paper. Here, we focus on some frequentist and Bayesian methods which have been mostly employed in the medical setting. Although we emphasize the medical domain, we also describe links with other fields where related developments have been made, and where some modeling concepts are often known under other designations. Key-Words: * Bayesian analysis; bi-normal; kernel; receiver operating characteristic curve; robustness. AMS Subject Classification: * 49A05, 78B26.
AbstractList * This work overviews some developments on the estimation of the Receiver Operating Characteristic (ROC) curve. Estimation methods in this area are constantly being developed, adjusted and extended, and it is thus impossible to cover all topics and areas of application in a single paper. Here, we focus on some frequentist and Bayesian methods which have been mostly employed in the medical setting. Although we emphasize the medical domain, we also describe links with other fields where related developments have been made, and where some modeling concepts are often known under other designations.
* This work overviews some developments on the estimation of the Receiver Operating Characteristic (ROC) curve. Estimation methods in this area are constantly being developed, adjusted and extended, and it is thus impossible to cover all topics and areas of application in a single paper. Here, we focus on some frequentist and Bayesian methods which have been mostly employed in the medical setting. Although we emphasize the medical domain, we also describe links with other fields where related developments have been made, and where some modeling concepts are often known under other designations. Key-Words: * Bayesian analysis; bi-normal; kernel; receiver operating characteristic curve; robustness. AMS Subject Classification: * 49A05, 78B26.
Audience Academic
Author Oliveira, M. Rosario
de Zea Bermudez, Patricia
Goncalves, Luzia
Subtil, Ana
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SubjectTerms Analysis
Bayesian statistical decision theory
Curves
Medical tests
Title ROC curve estimation: an overview
Volume 12
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