Utilize este identificador para referenciar este registo: http://hdl.handle.net/1822/32348

TítuloEstimation of the bivariate distribution function for censored gap times
Autor(es)Moreira, Ana Cristina
Araújo, Artur Agostinho
Machado, Luís Meira
Palavras-chaveGap times
Kaplan-Meier
Multi-state model
Nonparametric estimation
Simulation study
Data2014
EditoraTaylor & Francis
RevistaCommunications in Statistics - Simulation and Computation
Resumo(s)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.
Tipoarticle
URIhttp://hdl.handle.net/1822/32348
DOI10.1080/03610918.2014.963609
ISSN0361-0918
Versão da editorahttp://dx.doi.org/10.1080/03610918.2014.963609
Arbitragem científicayes
AcessorestrictedAccess
Aparece nas coleções:CMAT - Artigos com arbitragem/Papers with refereeing

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