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Accommodating informative dropout and death: a joint modelling approach for longitudinal and semicompeting risks data

Li, Q; Su, L; (2018) Accommodating informative dropout and death: a joint modelling approach for longitudinal and semicompeting risks data. Journal of the Royal Statistical Society: Series C (Applied Statistics) , 67 (1) pp. 145-163. 10.1111/rssc.12210. Green open access

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Abstract

Both dropout and death can truncate observation of a longitudinal outcome. Since extrapolation beyond death is often not appropriate, it is desirable to obtain the longitudinal outcome profile of a population given being alive.We propose a new likelihood-based approach to accommodating informative dropout and death by jointly modelling the longitudinal outcome and semicompeting event times of dropout and death, with an important feature that the conditional longitudinal profile of being alive can be conveniently obtained in a closed form. We use proposed methods to estimate different longitudinal profiles of CD4 cell count for patients from the ‘HIV Epidemiology Research Study’.

Type: Article
Title: Accommodating informative dropout and death: a joint modelling approach for longitudinal and semicompeting risks data
Open access status: An open access version is available from UCL Discovery
DOI: 10.1111/rssc.12210
Publisher version: http://doi.org/10.1111/rssc.12210
Language: English
Additional information: Copyright © 2017 The Authors Journal of the Royal Statistical Society: Series C Applied Statistics Published by John Wiley & Sons Ltd on behalf of the Royal Statistical Society. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
Keywords: Joint models; Missing data; Shared parameter models; Survival analysis
UCL classification: UCL
UCL > Provost and Vice Provost Offices
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute for Global Health > Infection and Population Health
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10045921
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