Heavy right censoring: when is too heavy?

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/10030

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa
dc.contributor	Universitat Politècnica de Catalunya. GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions
dc.contributor.author	López-Segovia, Lucas
dc.contributor.author	Gómez Melis, Guadalupe
dc.contributor.author	Espinal Berenguer, Anna
dc.date	2009
dc.identifier.citation	López-Segovia, L.; Gómez, G.; Espinal, A. Heavy right censoring: when is too heavy?. A: Conferencia Española de Biometría. "XII Conferencia Española de Biometría". Cádiz: 2009, p. 147-148.
dc.identifier.citation	978-84-692.5325-0
dc.identifier.citation	GR-2856-9009
dc.identifier.uri	http://hdl.handle.net/2117/10030
dc.language.iso	eng
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística aplicada
dc.subject	Mathematical statistics
dc.subject	Estadística matemàtica
dc.subject	Classificació AMS::62 Statistics::62P Applications
dc.title	Heavy right censoring: when is too heavy?
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	The main purpose of this work is to study the effect that a large percentage of right censoring has on the estimation of the regression parameters under a proportional hazards model. To accomplish this we conduct a simulation study for different scenarios and compute the performance of the estimator by means of their bias, variance, mean squared error, relative bias and percentage of coverage.

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