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Conditional copula models for correlated survival endpoints: Individual patient data meta-analysis of randomized controlled trials

dc.rights.licenseopenen_US
dc.contributor.authorEMURA, Takeshi
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorSOFEU, Casimir Ledoux
hal.structure.identifierBordeaux population health [BPH]
dc.contributor.authorRONDEAU, Virginie
ORCID: 0000-0001-7109-4831
IDREF: 16662988X
dc.date.accessioned2021-12-06T14:33:27Z
dc.date.available2021-12-06T14:33:27Z
dc.date.issued2021-10-09
dc.identifier.issn1477-0334 (Electronic) 0962-2802 (Linking)en_US
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/123999
dc.description.abstractEnCorrelations among survival endpoints are important for exploring surrogate endpoints of the true endpoint. With a valid surrogate endpoint tightly correlated with the true endpoint, the efficacy of a new drug/treatment can be measurable on it. However, the existing methods for measuring correlation between two endpoints impose an invalid assumption: correlation structure is constant across different treatment arms. In this article, we reconsider the definition of Kendall's concordance measure (tau) in the context of individual patient data meta-analyses of randomized controlled trials. According to our new definition of Kendall's tau, its value depends on the treatment arms. We then suggest extending the existing copula (and frailty) models so that their Kendall's tau can vary across treatment arms. Our newly proposed model, a joint frailty-conditional copula model, is the implementation of the new definition of Kendall's tau in meta-analyses. In order to facilitate our approach, we develop an original R function condCox.reg(.) and make it available in the R package joint.Cox (https://CRAN.R-project.org/package=joint.Cox). We apply the proposed method to a gastric cancer dataset (3288 patients in 14 randomized trials from the GASTRIC group). This data analysis concludes that Kendall's tau has different values between the surgical treatment arm and the adjuvant chemotherapy arm (p-value<0.001), whereas disease-free survival remains a valid surrogate at individual level for overall survival in these trials.
dc.language.isoENen_US
dc.subject.enComposite endpoint
dc.subject.enCopula
dc.subject.enFrailty model
dc.subject.enKendall's tau
dc.subject.enMeta-analysis
dc.subject.enSurrogate endpoint
dc.title.enConditional copula models for correlated survival endpoints: Individual patient data meta-analysis of randomized controlled trials
dc.typeArticle de revueen_US
dc.identifier.doi10.1177/09622802211046390en_US
dc.subject.halSciences du Vivant [q-bio]/Santé publique et épidémiologieen_US
dc.identifier.pubmed34632882en_US
bordeaux.journalStatistical Methods in Medical Researchen_US
bordeaux.page9,62280221104639E+015en_US
bordeaux.hal.laboratoriesBordeaux Population Health Research Center (BPH) - UMR 1219en_US
bordeaux.institutionUniversité de Bordeauxen_US
bordeaux.institutionINSERMen_US
bordeaux.teamBIOSTAT_BPHen_US
bordeaux.peerReviewedouien_US
bordeaux.inpressnonen_US
hal.identifierhal-03467536
hal.version1
hal.date.transferred2021-12-06T14:33:29Z
hal.exporttrue
dc.rights.ccPas de Licence CCen_US
bordeaux.COinSctx_ver=Z39.88-2004&amp;rft_val_fmt=info:ofi/fmt:kev:mtx:journal&amp;rft.jtitle=Statistical%20Methods%20in%20Medical%20Research&amp;rft.date=2021-10-09&amp;rft.spage=9,62280221104639E+015&amp;rft.epage=9,62280221104639E+015&amp;rft.eissn=1477-0334%20(Electronic)%200962-2802%20(Linking)&amp;rft.issn=1477-0334%20(Electronic)%200962-2802%20(Linking)&amp;rft.au=EMURA,%20Takeshi&amp;SOFEU,%20Casimir%20Ledoux&amp;RONDEAU,%20Virginie&amp;rft.genre=article


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