JoineRML: a joint model and software package for time-to-event and multivariate longitudinal outcomes.

ABSTRACT:

Background

Joint modelling of longitudinal and time-to-event outcomes has received considerable attention over recent years. Commensurate with this has been a rise in statistical software options for fitting these models. However, these tools have generally been limited to a single longitudinal outcome. Here, we describe the classical joint model to the case of multiple longitudinal outcomes, propose a practical algorithm for fitting the models, and demonstrate how to fit the models using a new package for the statistical software platform R, joineRML.

Results

A multivariate linear mixed sub-model is specified for the longitudinal outcomes, and a Cox proportional hazards regression model with time-varying covariates is specified for the event time sub-model. The association

SUBMITTER: Hickey GL 

PROVIDER: S-EPMC6047371 | biostudies-literature | 2018 Jun

REPOSITORIES: biostudies-literature