A semi-parametric joint model for two sequential times to events and one longitudinal covariate
Document typeConference lecture
Rights accessOpen Access
The present work proposes a joint model for two sequential times to events together with longitudinal information, as an extension of the joint model by Wolfsohn and Tsiatis (1997) for one time to event and one longitudinal variable. The model is applied to the TIBET, a clinical trial in which antiretroviral therapy interruptions guided by CD4 counts and plasma HIV-1 RNA levels in chronically HIV-1-infected patients are under evaluation. Details on the modelling strategy and the resulting estimates are given
CitationSerrat, C.; Abel, J.; Gómez Melis, G. A semi-parametric joint model for two sequential times to events and one longitudinal covariate. A: International Workshop on Statistical Modelling. "Proceedings of the 27th International Workshop on Statistical Modelling, Prague, Czech Republic, 2012". 2012, p. 297-302. ISBN 978-80-263-0250-6.