A marginal estimate for the overall treatment effect on a survival outcome within the joint modeling framework.

ABSTRACT: Joint models for longitudinal and survival data are increasingly used and enjoy a wide range of application areas. In this article, we focus on the application of joint models on clinical trial data with special interest in the treatment effect on the survival outcome. Within a joint model, the estimated treatment effect on the survival outcome is an aggregate comprising the indirect treatment effect through the longitudinal outcome and the direct treatment effect on the survival outcome. This overall treatment effect is, however, conditional on random effects, and therefore has a subject-specific interpretation. The conditional interpretation arises from the shared random effects between the longitudinal and survival process in combination with the nonlinear link function of the survival

SUBMITTER: van Oudenhoven FM 

PROVIDER: S-EPMC7674249 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature