Time-dependent receiver operating characteristic curve estimator for correlated right-censored time-to-event data

dc.contributor.authorBeyene, Kassu Mehari
dc.contributor.authorChen, Ding-Geng (Din)
dc.date.accessioned2024-01-22T09:28:17Z
dc.date.available2024-01-22T09:28:17Z
dc.date.issued2024-01
dc.description.abstractIn clinical trials, evaluating the accuracy of risk scores (markers) derived from prognostic models for prediction of survival outcomes is of major concern. The time-dependent receiver operating characteristic curve and the corresponding area under the receiver operating characteristic curve are appealing measures to evaluate the predictive accuracy. Several estimation methods have been proposed in the context of classical right-censored data which assumes the event time of individuals are independent. In many applications, however, this may not hold true if, for example, individuals belong to clusters or experience recurrent events. Estimates may be biased if this correlated nature is not taken into account. This paper is then aimed to fill this knowledge gap to introduce a time-dependent receiver operating characteristic curve and the corresponding area under the receiver operating characteristic curve estimation method for right-censored data that take the correlated nature into account. In the proposed method, the unknown status of censored subjects is imputed using conditional survival functions given the marker and frailty of the subjects. An extensive simulation study is conducted to evaluate and demonstrate the finite sample performance of the proposed method. Finally, the proposed method is illustrated using two real-world examples of lung cancer and kidney disease.en_US
dc.description.departmentStatisticsen_US
dc.description.librarianhj2024en_US
dc.description.sdgNoneen_US
dc.description.sponsorshipThe South Africa National Research Foundation (NRF) and South Africa Medical Research Council (SAMRC).en_US
dc.description.urihttps://journals.sagepub.com/home/SMMen_US
dc.identifier.citationBeyene. K.M., Chen, D.-G. Time-dependent receiver operating characteristic curve estimator for correlated right-censored time-to-event data. Statistical Methods in Medical Research. 2024; 33(1): 162-181. doi:10.1177/09622802231220496.en_US
dc.identifier.issn0962-2802 (print)
dc.identifier.issn1477-0334 (online)
dc.identifier.other10.1177/09622802231220496
dc.identifier.urihttp://hdl.handle.net/2263/94045
dc.language.isoenen_US
dc.publisherSageen_US
dc.rights© The Author(s) 2023en_US
dc.subjectTime-dependent receiver operating characteristic curveen_US
dc.subjectPredictive accuracyen_US
dc.subjectRight-censored time-to-event dataen_US
dc.subjectTime-to-eventen_US
dc.subjectReceiver operating characteristic curveen_US
dc.subjectCorrelateden_US
dc.titleTime-dependent receiver operating characteristic curve estimator for correlated right-censored time-to-event dataen_US
dc.typePostprint Articleen_US

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