Individualized dynamic prediction of survival with the presence of intermediate events.

ABSTRACT: Often, in follow-up studies, patients experience intermediate events, such as reinterventions or adverse events, which directly affect the shapes of their longitudinal profiles. Our work is motivated by two studies in which such intermediate events have been recorded during follow-up. In both studies, we are interested in the change of the longitudinal evolutions after the occurrence of the intermediate event and in utilizing this information to improve the accuracy of dynamic prediction of their risk. To achieve so, we propose a flexible joint modeling framework for longitudinal and time-to-event data, which includes features of the intermediate event as time-varying covariates in both the longitudinal and survival submodels. We consider a set of joint models that postulate different effe

SUBMITTER: Papageorgiou G 

PROVIDER: S-EPMC6916395 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature