Research Repository

Joint modelling of survival and longitudinal data with informative observation times

Dai, Hongsheng and Pan, Jianxin (2018) 'Joint modelling of survival and longitudinal data with informative observation times.' Scandinavian Journal of Statistics: theory and applications, 45 (3). 571 - 589. ISSN 0303-6898

[img]
Preview
Text
ManuscriptPBCR1.pdf - Accepted Version

Download (151kB) | Preview

Abstract

In this paper, we consider the joint modelling of survival and longitudinal data with informative observation time points. The survival model and the longitudinal model are linked via random effects, for which no distribution assumption is required under our estimation approach. The estimators are shown to be consistent and asymptotically normal. The proposed estimator and its estimated covariance matrix can be easily calculated. Simulation studies and an application to a primary biliary cirrhosis study are also provided.

Item Type: Article
Uncontrolled Keywords: Cox Model, informative observation times, log-normal distribution, longitudinal data, multistate models
Subjects: Q Science > QA Mathematics
Divisions: Faculty of Science and Health > Mathematical Sciences, Department of
Depositing User: Elements
Date Deposited: 13 Nov 2017 15:50
Last Modified: 16 Jan 2020 16:15
URI: http://repository.essex.ac.uk/id/eprint/20594

Actions (login required)

View Item View Item