Adjusted empirical likelihood estimation of the youden index and associated threshold for the bigamma model

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dc.contributor.author Letón, Emilio
dc.contributor.author Molanes, Elisa M.
dc.contributor.editor Universidad Carlos III de Madrid. Departamento de Estadística
dc.date.accessioned 2009-03-13T18:04:46Z
dc.date.available 2009-03-13T18:04:46Z
dc.date.issued 2009-03
dc.identifier.uri http://hdl.handle.net/10016/3816
dc.description.abstract The Youden index is a widely used measure in the framework of medical diagnostic, where the effectiveness of a biomarker (screening marker or predictor) for classifying a disease status is studied. When the biomarker is continuous, it is important to determine the threshold or cut-off point to be used in practice for the discrimination between diseased and healthy populations. We introduce a new method based on adjusted empirical likelihood for quantiles aimed to estimate the Youden index and its associated threshold. We also include bootstrap based confidence intervals for both of them. In the simulation study, we compare this method with a recent approach based on the delta method under the bigamma scenario. Finally, a real example of prostatic cancer, well known in the literature, is analyzed to provide the reader with a better understanding of the new method
dc.format.mimetype application/pdf
dc.language.iso eng
dc.relation.ispartofseries UC3M Working papers. Statistics and Econometrics
dc.relation.ispartofseries 09-07
dc.rights Atribución-NoComercial-SinDerivadas 3.0 España
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject.other Confidence interval
dc.subject.other Empirical likelihood
dc.subject.other Optimal cut-off point
dc.subject.other ROC curve
dc.subject.other Youden index
dc.title Adjusted empirical likelihood estimation of the youden index and associated threshold for the bigamma model
dc.type workingPaper
dc.subject.eciencia Estadística
dc.rights.accessRights openAccess
dc.identifier.repec ws091907
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