Joint modelling of the relationship between sleep, disease and mortality, exclusively in a cohort of older Australian women (aged 70-75 years at baseline)

Leigh, L, Hudson, I and Byles, J 2016, 'Joint modelling of the relationship between sleep, disease and mortality, exclusively in a cohort of older Australian women (aged 70-75 years at baseline)', Journal of Statistics: Advances in Theory and Application, vol. 16, no. 2, pp. 185-254.


Document type: Journal Article
Collection: Journal Articles

Title Joint modelling of the relationship between sleep, disease and mortality, exclusively in a cohort of older Australian women (aged 70-75 years at baseline)
Author(s) Leigh, L
Hudson, I
Byles, J
Year 2016
Journal name Journal of Statistics: Advances in Theory and Application
Volume number 16
Issue number 2
Start page 185
End page 254
Total pages 70
Publisher Scientific Advances Publishers
Abstract This paper explores the relationship between sleep, disease and survival, utilising shared random effects joint modelling to account for informative dropout, in a cohort of very old women. Joint modelling simultaneously models the longitudinal sleep trajectory and its effects on survival. A series of nested joint models are implemented to separate out the effects on survival of sleep and disease, the latter of which is known to have a causal role in mortality, and other factors of interest, such as self-rated health, physical functioning, mental health, vitality, baseline age, BMI, area of residence, marital status, and education. Dynamic survival predictions are also created and compared for a small sample of subjects.
Subject Applied Statistics
Statistical Theory
Keyword(s) ALSWH
joint models
longitudinal sleep trajectory
shared parameter models
sleep difficulty
survival
DOI - identifier 10.18642/jsata_7100121735
Copyright notice © 2016 Scientific Advances Publishers
ISSN 0975-1262
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