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hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorNIKULIN, Mikhail
hal.structure.identifierDepartement of Statistics, Vilnius University
hal.structure.identifierDepartement of Statistics, Vilnius University
dc.contributor.authorBAGDONAVICIUS, Vilijandas
hal.structure.identifierDepartement of Statistics [Vilnius]
dc.contributor.authorLEVULIENE, Ruta
dc.date.created2010
dc.date.issued2012
dc.identifier.issn0361-0926
dc.description.abstractEnWhen analysing survival data from clinical trials, crossing of survival functions is sometimes observed .We present in our paper several models and estimation procedures for data with nonproportional hazards when data are censored.
dc.language.isoen
dc.publisherTaylor & Francis
dc.subject.enCensored data
dc.subject.encross-effect of survivals
dc.subject.ennonproportional hazard rates
dc.subject.enCox model
dc.title.enModelling and testing of presence of hazard rates crossing under censoring
dc.typeArticle de revue
dc.subject.halMathématiques [math]/Statistiques [math.ST]
dc.subject.halStatistiques [stat]/Théorie [stat.TH]
bordeaux.journalCommunications in Statistics - Theory and Methods
bordeaux.page980-991
bordeaux.volume41
bordeaux.issue7
bordeaux.peerReviewedoui
hal.identifierhal-00783910
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-00783910v1
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