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dc.contributor.authorMartínez-Camblor P.
dc.contributor.authorBayón G.F.
dc.contributor.authorPérez-Fernández S.
dc.date.accessioned2020-09-02T22:22:28Z
dc.date.available2020-09-02T22:22:28Z
dc.date.issued2016
dc.identifier10.1080/00949655.2016.1175442
dc.identifier.citation86, 17, 3582-3594
dc.identifier.issn00949655
dc.identifier.urihttps://hdl.handle.net/20.500.12728/5246
dc.descriptionReceiver operating-characteristic (ROC) curve is a popular graphical method frequently used in order to study the diagnostic capacity of continuous (bio)markers. When the considered outcome is a time-dependent variable, the direct generalization is known as cumulative/dynamic ROC curve. For a fixed point of time, t, one subject is allocated into the positive group if the event happens before t and into the negative group if the event is not happened at t. The presence of censored subject, which can not be directly assigned into a group, is the main handicap of this approach. The proposed cumulative/dynamic ROC curve estimator assigns a probability to belong to the negative (positive) group to the subjects censored previously to t. The performance of the resulting estimator is studied from Monte Carlo simulations. Some real-world applications are reported. Results suggest that the new estimators provide a good approximation to the real cumulative/dynamic ROC curve. © 2016 Informa UK Limited, trading as Taylor & Francis Group.
dc.language.isoen
dc.publisherTaylor and Francis Ltd.
dc.subjectcensored data
dc.subjectCox regression model
dc.subjectCumulative/dynamic ROC curve
dc.subjectsensitivity
dc.subjectspecificity
dc.titleCumulative/dynamic ROC curve estimation
dc.typeArticle


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