Installation
About
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).
Citation | joineRML citation info |
github.com/graemeleehickey/joineRML | |
Bug report | File report |
Key Metrics
Downloads
Yesterday | 45 0% |
Last 7 days | 259 -30% |
Last 30 days | 1.344 -15% |
Last 90 days | 4.915 -1% |
Last 365 days | 21.836 -12% |