Hickey, Graeme, Philipson, Pete, Jorgensen, Andrea and Kolamunnage-Dona, Ruwanthi (2016) Joint Modelling of Multivariate Longitudinal Data and Time-to-Event Outcomes. CRAN R project, CRAN repository for R software packages.
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Abstract
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 is funded by the Medical Research Council (Grant number MR/M013227/1).
| Item Type: | Other |
|---|---|
| Subjects: | A300 Clinical Medicine G300 Statistics |
| Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
| Depositing User: | Pete Philipson |
| Date Deposited: | 10 Oct 2017 13:49 |
| Last Modified: | 18 May 2018 10:55 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/32308 |
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