The comparisons of random survival forests and Cox regression analysis with simulation and an application related to breast cancer

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dc.contributor.authorOmurlu, Imran Kurt
dc.contributor.authorTure, Mevlut
dc.contributor.authorTokatli, Fuesun
dc.date.accessioned2024-06-12T10:58:50Z
dc.date.available2024-06-12T10:58:50Z
dc.date.issued2009
dc.departmentTrakya Üniversitesien_US
dc.description.abstractThe objective of this study was to compare the performances of Cox regression analysis (CRA) and random survival forests (RSF) methods with simulation and a real data set related to breast cancer. In the simulations, we compared across the methods under varying sample sizes by using Monte Carlo simulation method. The results showed that the performance of the CRA was a slightly better for analysis based on Harrell's concordance index than RSF approaches based on log-rank, conservation of events, log-rank score and approximate log-rank splitting rules. In the real data application, a retrospective analysis was performed in 279 breast cancer patients diagnosed. According to Harrell's concordance index, RSF based on approximate log-rank splitting rule to determined major risk factors for disease-free survival (DFS) showed a slightly better performance than other approaches. In general, performances of all the methods were almost similar. The predictive capability of CRA can be used for different sample sizes and potential future suitable survival data problems, whereas RSF provide interpretive results. (C) 2008 Elsevier Ltd. All rights reserved.en_US
dc.identifier.doi10.1016/j.eswa.2008.10.023
dc.identifier.endpage8588en_US
dc.identifier.issn0957-4174
dc.identifier.issn1873-6793
dc.identifier.issue4en_US
dc.identifier.scopus2-s2.0-60249084252en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage8582en_US
dc.identifier.urihttps://doi.org/10.1016/j.eswa.2008.10.023
dc.identifier.urihttps://hdl.handle.net/20.500.14551/20199
dc.identifier.volume36en_US
dc.identifier.wosWOS:000264528600140en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherPergamon-Elsevier Science Ltden_US
dc.relation.ispartofExpert Systems With Applicationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCox Regressionen_US
dc.subjectRandom Survival Forestsen_US
dc.subjectHarrell's Concordance Indexen_US
dc.subjectSurvivalen_US
dc.subjectBreast Canceren_US
dc.subjectSimulationen_US
dc.titleThe comparisons of random survival forests and Cox regression analysis with simulation and an application related to breast canceren_US
dc.typeArticleen_US

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