Please use this identifier to cite or link to this item: http://hdl.handle.net/1822/49703

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dc.contributor.authorMachado, Luís Meirapor
dc.contributor.authorSestelo, Martapor
dc.contributor.authorGonçalves, Andreiapor
dc.date.accessioned2018-01-25T13:47:18Z-
dc.date.available2018-01-25T13:47:18Z-
dc.date.issued2015-
dc.identifier.urihttp://hdl.handle.net/1822/49703-
dc.description.abstractIn longitudinal studies of disease, patients may experience several events through a follow-up period. In these studies, the sequentially ordered events are often of interest and lead to problems that have received much attention recently. Issues of interest include the estimation of bivariate survival, marginal distributions and the conditional distribution of the second gap time given the first gap time. In this work we consider the estimation for the survival given the first gap time. Different nonparametric approaches will be considered for estimating these quantities, all based on the Kaplan-Meier estimator of the survival function. Real data illustration based on a German breasts cancer study is included.por
dc.language.isoengpor
dc.rightsopenAccesspor
dc.subjectConditional survivalpor
dc.subjectGap timespor
dc.subjectKaplan-Meierpor
dc.subjectNonparametric estimationpor
dc.subjectRecurrent eventspor
dc.titleNonparametric estimation of the survival function for ordered multivariate failure time data: a comparative studypor
dc.typeconferencePaperpor
dc.peerreviewedyespor
degois.publication.firstPage167por
degois.publication.lastPage170por
degois.publication.volume2por
dc.subject.fosCiências Naturais::Matemáticaspor
dc.description.publicationversioninfo:eu-repo/semantics/publishedVersionpor
sdum.conferencePublicationProceedings of the 30th International Workshop on Statistical Modelling, volume 2por
Appears in Collections:DMA - Livros de atas

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