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oai:recercat.cat:2117/151762025-07-17T02:11:54Zcom_2072_1033col_2072_452950

Joint modelling of two sequential times to event with longitudinal information Huertas, Jaime-Abel Gómez Melis, Guadalupe Serrat Piè, Carles Universitat Politècnica de Catalunya. Departament de Matemàtica Aplicada I Universitat Politècnica de Catalunya. Departament d'Estadística i Investigació Operativa Universitat Politècnica de Catalunya. GREMA - Grup de Recerca en Estadística Matemàtica i les seves Aplicacions Àrees temàtiques de la UPC::Matemàtiques i estadística::Estadística matemàtica Survival analysis (Biometry) Anàlisi de supervivència (Biometria) Classificació AMS::62 Statistics::62N Survival analysis and censored data 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. Postprint (author’s final draft) 2011 Conference lecture 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. 978-84-694-5129-8 https://hdl.handle.net/2117/15176 V-2498-2011 eng http://cataleg.upc.edu/record=b1298300~S1*cat http://creativecommons.org/licenses/by-nc-nd/3.0/es/ Open Access Attribution-NonCommercial-NoDerivs 3.0 Spain 6 p. application/pdf