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dc.contributor.authorDe Uña-Álvarez, Jacobo
dc.contributor.authorVeraverbeke, Noël
dc.identifier.citationDe Uña-Álvarez, J. & Veraverbeke, N. 2013. Generalized copula-graphic estimator. Test, 22(2):343-360. []en_US
dc.identifier.issn1863-8260 (Online)
dc.description.abstractIn this paper, a copula-graphic estimator is proposed for censored survival data. It is assumed that there is some dependent censoring acting on the variable of interest that may come from an existing competing risk. Furthermore, the full process is independently censored by some administrative censoring time. The dependent censoring is modeled through an Archimedean copula function, which is supposed to be known. An asymptotic representation of the estimator as a sum of independent and identically distributed random variables is obtained, and, consequently, a central limit theorem is established. We investigate the finite sample performance of the estimator through simulations. A real data illustration is includeden_US
dc.subjectAlmost sure representationen_US
dc.subjectArchimedean copulaen_US
dc.subjectcensored dataen_US
dc.subjectinformative censoringen_US
dc.subjectsurvival analysisen_US
dc.titleGeneralized copula-graphic estimatoren_US
dc.contributor.researchID22051880 - Veraverbeke, Noël Daniel

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