Philipson, Pete, Diggle, Peter, Sousa, Ines, Kolamunnage-Dona, Ruwanthi, Williamson, Paula and Henderson, Robin (2012) joineR: Joint modelling of repeated measurements and time-to-event data. Comprehensive R Archive Network, United Kingdom.
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Abstract
The joineR package implements methods for analysing data from longitudinal studies in which the response
from each subject consists of a time-sequence of repeated measurements and a possibly censored time-toevent
outcome. The modelling framework for the repeated measurements is the linear model with random
effects and/or correlated error structure. The model for the time-to-event outcome is a Cox proportional
hazards model with log-Gaussian frailty. Stochastic dependence is captured by allowing the Gaussian
random effects of the linear model to be correlated with the frailty term of the Cox proportional hazards
model.
| Item Type: | Other |
|---|---|
| Additional Information: | This is R software developed for the joint modelling of repeated measurements and time-to-event data. |
| Uncontrolled Keywords: | R software, longitudinal and survival data, repeated measures, time-to-event data, joint modelling |
| Subjects: | G300 Statistics G900 Others in Mathematical and Computing Sciences |
| Department: | Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering |
| Depositing User: | Pete Philipson |
| Date Deposited: | 11 May 2012 12:38 |
| Last Modified: | 03 Mar 2016 13:25 |
| URI: | https://nrl.northumbria.ac.uk/id/eprint/6945 |
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