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dc.contributor.authorMartínez-Camblor P.
dc.contributor.authorPérez-Fernández S.
dc.contributor.authorCorral N.
dc.date.accessioned2020-09-02T22:22:29Z
dc.date.available2020-09-02T22:22:29Z
dc.date.issued2018
dc.identifier10.1177/0962280216672490
dc.identifier.citation27, 6, 1892-1908
dc.identifier.issn09622802
dc.identifier.urihttps://hdl.handle.net/20.500.12728/5251
dc.descriptionReceiver operating-characteristic curve is a popular graphical method frequently used in order to study the diagnostic capacity of continuous (bio)markers. In spite of the existence of a huge number of papers devoted to both theoretical and practical aspects of this topic, the construction of confidence bands has had little impact in the specialized literature. As far as the authors know, in the CRAN there are only three R packages providing receiver operating-characteristic curve confidence regions: plotROC, pROC and fbroc. This work tries to fill this gap studying and proposing a new nonparametric method to build confidence bands for both the standard receiver operating-characteristic curve and its generalization for nonmonotone relationships. The behavior of the proposed procedure is studied via Monte Carlo simulations and the methodology is applied on two real-world biomedical problems. In addition, an R function to compute the proposed and some of the previously existing methodologies is provided as online supplementary material. © 2016, © The Author(s) 2016.
dc.language.isoen
dc.publisherSAGE Publications Ltd
dc.subjectbootstrap method
dc.subjectConfidence bands
dc.subjectreceiver operating-characteristic curve
dc.subjectsensitivity
dc.subjectspecificity
dc.subjectArticle
dc.subjectbootstrapping
dc.subjectchronic hepatitis C
dc.subjectconfidence interval
dc.subjecthuman
dc.subjectMonte Carlo method
dc.subjectnonparametric test
dc.subjectpostoperative infection
dc.subjectpredictive value
dc.subjectreceiver operating characteristic
dc.subjectsensitivity and specificity
dc.subjecttreatment outcome
dc.subjectalgorithm
dc.subjectchronic hepatitis B
dc.subjectdiagnostic test
dc.subjectdrug effect
dc.subjectHepatitis B virus
dc.subjectnonparametric test
dc.subjectoutcome assessment
dc.subjectbiological marker
dc.subjectAlgorithms
dc.subjectBiomarkers
dc.subjectConfidence Intervals
dc.subjectDiagnostic Tests, Routine
dc.subjectHepatitis B virus
dc.subjectHepatitis B, Chronic
dc.subjectHumans
dc.subjectOutcome Assessment (Health Care)
dc.subjectROC Curve
dc.subjectStatistics, Nonparametric
dc.titleEfficient nonparametric confidence bands for receiver operating-characteristic curves
dc.typeArticle


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