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https://hdl.handle.net/1822/32348
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Campo DC | Valor | Idioma |
---|---|---|
dc.contributor.author | Moreira, Ana Cristina | por |
dc.contributor.author | Araújo, Artur Agostinho | por |
dc.contributor.author | Machado, Luís Meira | por |
dc.date.accessioned | 2015-01-05T18:52:14Z | - |
dc.date.available | 2015-01-05T18:52:14Z | - |
dc.date.issued | 2017 | - |
dc.identifier.issn | 0361-0918 | por |
dc.identifier.uri | https://hdl.handle.net/1822/32348 | - |
dc.description | First published online: 12 Dec 2014 | - |
dc.description.abstract | In many medical studies, patients may experience several events during follow-up. The times between consecutive events (gap times) are often of interest and lead to problems that have received much attention recently. In this work we consider the estimation of the bivariate distribution function for censored gap times. Some related problems such as the estimation of the marginal distribution of the second gap time and the conditional distribution are also discussed. In this paper we introduce a nonparametric estimator of the bivariate distribution function based on Bayes' theorem and Kaplan-Meier survival function and explore the behavior of the four estimators through simulations. Real data illustration is included. | por |
dc.description.sponsorship | Ana Moreira acknowledges financial support by grant SFRH/BD/62284/2009 of the Portuguese Ministry of Science, Technology and Higher Education. This research was also financed by FEDER Funds through Programa Operacional Factores de Competitividade COMPETE and by Portuguese Funds through FCT - Fundação para a Ciência e a Tecnologia, within Projects PTDC/MAT/104879 and PEst-OE/MAT/UI0013/2014. | por |
dc.language.iso | eng | por |
dc.publisher | Taylor and Francis | por |
dc.relation | info:eu-repo/grantAgreement/FCT/SFRH/SFRH%2FBD%2F62284%2F2009/PT | - |
dc.relation | info:eu-repo/grantAgreement/FCT/5876-PPCDTI/104879/PT | - |
dc.relation | info:eu-repo/grantAgreement/FCT/5876/135888/PT | - |
dc.rights | restrictedAccess | por |
dc.subject | Gap times | por |
dc.subject | Kaplan-Meier | por |
dc.subject | Multi-state model | por |
dc.subject | Nonparametric estimation | por |
dc.subject | Simulation study | por |
dc.title | Estimation of the bivariate distribution function for censored gap times | por |
dc.type | article | por |
dc.peerreviewed | yes | por |
dc.relation.publisherversion | http://dx.doi.org/10.1080/03610918.2014.963609 | por |
sdum.publicationstatus | published | por |
oaire.citationStartPage | 275 | por |
oaire.citationEndPage | 300 | por |
oaire.citationIssue | 1 | por |
oaire.citationTitle | Communications in Statistics - Simulation and Computation | por |
oaire.citationVolume | 46 | por |
dc.identifier.doi | 10.1080/03610918.2014.963609 | por |
dc.subject.fos | Ciências Naturais::Matemáticas | por |
dc.subject.fos | Ciências Sociais::Economia e Gestão | por |
dc.subject.wos | Science & Technology | por |
sdum.journal | Communications in Statistics - Simulation and Computation | por |
Aparece nas coleções: | CMAT - Artigos em revistas com arbitragem / Papers in peer review journals |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
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CSSC2.pdf Acesso restrito! | Full paper | 152,49 kB | Adobe PDF | Ver/Abrir |