Joint modelling of two sequential times to event with longitudinal information

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/15176

dc.contributor	Universitat Politècnica de Catalunya. Departament de Matemàtica Aplicada I
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	Huertas, Jaime-Abel
dc.contributor.author	Gómez Melis, Guadalupe
dc.contributor.author	Serrat Piè, Carles
dc.date	2011
dc.identifier.citation	Huertas, J.; Gómez, G.; Serrat, C. Joint modelling of two sequential times to event with longitudinal information. A: International Workshop on Statistical Modelling. "Proceedings of the 26th International Workshop on Statistical Modelling". València: 2011, p. 316-321.
dc.identifier.citation	978-84-694-5129-8
dc.identifier.citation	V-2498-2011
dc.identifier.uri	http://hdl.handle.net/2117/15176
dc.language.iso	eng
dc.relation	http://cataleg.upc.edu/record=b1298300~S1*cat
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica
dc.subject	Survival analysis (Biometry)
dc.subject	Anàlisi de supervivència (Biometria)
dc.subject	Classificació AMS::62 Statistics::62N Survival analysis and censored data
dc.title	Joint modelling of two sequential times to event with longitudinal information
dc.type	info:eu-repo/semantics/submittedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	In survival analysis, the lifetimes may be observed in some speci¯ed order, where the time to event Tk, cannot be observed until T1; :::; Tk¡1 have been observed. The present work proposes a joint model of two sequential times to events together with longitudinal information, extending the joint model of Wolfsohn and Tsiatis (1997) for one time to event and one longitudinal variable. We apply the model to the clinical trial called TIBET, in which an intermit- tent therapeutic strategy has been assigned to each patient. Of special clinical interest is the lifetime that a patient needs before restarting treatment given the progression of biological markers recorded during the followup period.

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