joineRML-package {joineRML}R Documentation

joineRML: Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes

Description

Fits the joint model proposed by Henderson and colleagues (2000) doi:10.1093/biostatistics/1.4.465, but extended to the case of multiple continuous longitudinal measures. The time-to-event data is modelled using a Cox proportional hazards regression model with time-varying covariates. The multiple longitudinal outcomes are modelled using a multivariate version of the Laird and Ware linear mixed model. The association is captured by a multivariate latent Gaussian process. The model is estimated using a Monte Carlo Expectation Maximization algorithm. This project was funded by the Medical Research Council (Grant number MR/M013227/1).

Author(s)

Maintainer: Graeme L. Hickey graemeleehickey@gmail.com (ORCID)

Authors:

Other contributors:

See Also

Useful links:


[Package joineRML version 0.4.7 Index]