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dc.contributor.authorBrentnall, ARen_US
dc.contributor.authorCuzick, Jen_US
dc.date.accessioned2016-11-08T09:08:49Z
dc.date.accessioned2017-01-16T14:51:55Z
dc.date.available2016-10-31en_US
dc.date.issued2018-08en_US
dc.date.submitted2016-10-31T10:40:12.507Z
dc.date.submitted2017-01-05T13:56:03.638Z
dc.identifier.urihttp://qmro.qmul.ac.uk/xmlui/handle/123456789/18788
dc.description.abstractThe concordance index is often used to measure how well a biomarker predicts the time to an event. Estimators of the concordance index for predictors of right-censored data are reviewed, including those based on censored pairs, inverse probability weighting and a proportional-hazards model. Predictive and prognostic biomarkers often lose strength with time, and in this case the aforementioned statistics depend on the length of follow up. A semi-parametric estimator of the concordance index is developed that accommodates converging hazards through a single parameter in a Pareto model. Concordance index estimators are assessed through simulations, which demonstrate substantial bias of classical censored-pairs and proportional-hazards model estimators. Prognostic biomarkers in a cohort of women diagnosed with breast cancer are evaluated using new and classical estimators of the concordance index.en_US
dc.description.sponsorshipThis work was funded by Cancer Research UK (grant number C569/A16891).en_US
dc.format.extent2359 - 2373en_US
dc.languageengen_US
dc.language.isoenen_US
dc.relation.ispartofStat Methods Med Resen_US
dc.relation.replaceshttp://qmro.qmul.ac.uk/xmlui/handle/123456789/16582
dc.relation.replaces123456789/16582
dc.rightscc-by
dc.rightsThe final version of this paper has been published in Statistical Methods in Medical Research , Dec 2016 by SAGE Publications Ltd, All rights reserved. It is available at: http://smm.sagepub.com/
dc.subjectBiomarkersen_US
dc.subjectC-indexen_US
dc.subjectPareto modelen_US
dc.subjectdiscriminationen_US
dc.subjectproportional-hazards modelen_US
dc.subjectsurvival analysisen_US
dc.titleUse of the concordance index for predictors of censored survival data.en_US
dc.typeArticle
dc.rights.holder(c) The Authors, 2016
dc.identifier.doi10.1177/0962280216680245en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/27920368en_US
pubs.issue8en_US
pubs.notesNo embargoen_US
pubs.notesThis is the accepted version NOT the publishers PDFen_US
pubs.publication-statusPublisheden_US
pubs.volume27en_US


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