Publication:
Combining binary and continuous biomarkers by maximizing the area under the receiver operating characteristic curve

dc.contributor.authorAhmadian, Robab
dc.contributor.authorErcan, İlker
dc.contributor.authorSığırlı, Deniz
dc.contributor.authorYıldız, Abdulmecit
dc.contributor.buuauthorAhmadian, Robab
dc.contributor.buuauthorERCAN, İLKER
dc.contributor.buuauthorSIĞIRLI, DENİZ
dc.contributor.buuauthorYILDIZ, ABDULMECİT
dc.contributor.departmentBursa Uludağ Üniversitesi/Tıp Fakültesi/Biyoistatistik Anabilim Dalı.
dc.contributor.departmentBursa Uludağ Üniversitesi/Tıp Fakültesi/Nefroloji Anabilim Dalı.
dc.contributor.orcid0000-0003-1550-639X
dc.contributor.orcid0000-0002-2382-290X
dc.contributor.researcheridAAE-5602-2019
dc.contributor.researcheridABF-2367-2020
dc.contributor.researcheridAAA-7472-2021
dc.contributor.researcheridABF-2368-2020
dc.date.accessioned2024-07-08T12:08:15Z
dc.date.available2024-07-08T12:08:15Z
dc.date.issued2020-03-08
dc.description.abstractIn any clinical case, a decision is made with the maximum possible accuracy. To achieve such accuracy, in the presence of multiple diagnostic tests or biomarkers, biomarker combinations aim to achieve maximum accuracy. As existing biomarker combination methods combine only continuous biomarkers, therefore in this study biomarker combination for binary biomarkers was created by suggesting an approach using Youden's J statistic for combining binary biomarkers. The proposed approach will facilitate binary and continuous biomarker combinations. A simulation study was conducted to compare the performance of our proposed combination approach according to different sample sizes. Both in the analysis of real data and the simulation studies for different samples, the proposed approach has been shown to yield favorable results and higher area under the curve.
dc.identifier.doi10.1080/03610918.2020.1742354
dc.identifier.endpage4409
dc.identifier.issn0361-0918
dc.identifier.issue8
dc.identifier.startpage4396
dc.identifier.urihttps://doi.org/10.1080/03610918.2020.1742354
dc.identifier.urihttps://www.tandfonline.com/doi/full/10.1080/03610918.2020.1742354
dc.identifier.urihttps://hdl.handle.net/11452/43047
dc.identifier.volume51
dc.identifier.wos000557271700001
dc.indexed.wosWOS.SCI
dc.language.isoen
dc.publisherTaylor & Francis
dc.relation.journalCommunications in Statistics-Simulation and Computation
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectLinear-combinations
dc.subjectClassification
dc.subjectAuc
dc.subjectBinary biomarker
dc.subjectBiomarker combination
dc.subjectParametric and non-parametric
dc.subjectRoc curves
dc.subjectMathematics
dc.titleCombining binary and continuous biomarkers by maximizing the area under the receiver operating characteristic curve
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication50e4dfdb-25cd-43af-94c9-464881669605
relation.isAuthorOfPublicationf8b7b771-12ea-4f9a-889d-25079d8c862d
relation.isAuthorOfPublicatione0f20ddb-a439-4c4a-b87e-d468370abf60
relation.isAuthorOfPublication.latestForDiscovery50e4dfdb-25cd-43af-94c9-464881669605

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