joineR: Joint modelling of repeated measurements and time-to-event data

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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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

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

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