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.

[img] HTML
index.html

Download (2kB)
[img]
Preview
PDF
joineR_manual.pdf - Published Version

Download (168kB) | Preview
[img]
Preview
PDF
joineR_vignette.pdf - Published Version

Download (279kB) | Preview
Official URL: http://cran.r-project.org/web/packages/joineR/inde...

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: http://nrl.northumbria.ac.uk/id/eprint/6945

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics


Policies: NRL Policies | NRL University Deposit Policy | NRL Deposit Licence