Joint modelling of survival and cognitive decline in the Australian Longitudinal Study of Ageing

Graham, PL; Ryan, LM; Luszcz, MA

Joint modelling of survival and cognitive decline in the Australian Longitudinal Study of Ageing

Graham, PL Ryan, LM

Luszcz, MA

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Publication Type:: Journal Article
Citation:: Journal of the Royal Statistical Society. Series C: Applied Statistics, 2011, 60 (2), pp. 221 - 238
Issue Date:: 2011-03-01

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Field	Value	Language
dc.contributor.author	Graham, PL	en_US
dc.contributor.author	Ryan, LM https://orcid.org/0000-0001-5957-2490	en_US
dc.contributor.author	Luszcz, MA	en_US
dc.date.issued	2011-03-01	en_US
dc.identifier.citation	Journal of the Royal Statistical Society. Series C: Applied Statistics, 2011, 60 (2), pp. 221 - 238	en_US
dc.identifier.issn	0035-9254	en_US
dc.identifier.uri	http://hdl.handle.net/10453/26058
dc.description.abstract	The paper describes the use of a longitudinal tobit model to characterize cognitive decline over a 13-year period in a cohort of 2087 elderly Australians. Use of a tobit formulation allows for the so-called 'ceiling effect' wherein many subjects achieve perfect test scores. A Bayesian hierarchical joint model is presented that allows for random subject-specific intercepts and slopes, as well as for informative dropout. Results suggest several potential areas of intervention. For example, there is a clear dose-response effect of exercise whereby increasing levels of exercise are associated with higher cognitive scores. © 2010 Royal Statistical Society.	en_US
dc.relation.ispartof	Journal of the Royal Statistical Society. Series C: Applied Statistics	en_US
dc.relation.isbasedon	10.1111/j.1467-9876.2010.00737.x	en_US
dc.subject.classification	Statistics & Probability	en_US
dc.title	Joint modelling of survival and cognitive decline in the Australian Longitudinal Study of Ageing	en_US
dc.type	Journal Article
utslib.citation.volume	2	en_US
utslib.citation.volume	60	en_US
utslib.for	0104 Statistics	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Science
pubs.organisational-group	/University of Technology Sydney/Faculty of Science/School of Mathematical and Physical Sciences
utslib.copyright.status	closed_access
pubs.issue	2	en_US
pubs.publication-status	Published	en_US
pubs.volume	60	en_US

Abstract:

The paper describes the use of a longitudinal tobit model to characterize cognitive decline over a 13-year period in a cohort of 2087 elderly Australians. Use of a tobit formulation allows for the so-called 'ceiling effect' wherein many subjects achieve perfect test scores. A Bayesian hierarchical joint model is presented that allows for random subject-specific intercepts and slopes, as well as for informative dropout. Results suggest several potential areas of intervention. For example, there is a clear dose-response effect of exercise whereby increasing levels of exercise are associated with higher cognitive scores. © 2010 Royal Statistical Society.

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http://hdl.handle.net/10453/26058