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

Petra Graham, Louise Ryan, Mary Luszcz

    Research output: Contribution to journalArticlepeer-review

    14 Citations (Scopus)

    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.

    Original languageEnglish
    Pages (from-to)221-238
    Number of pages18
    JournalJournal of the Royal Statistical Society, Series C: Applied Statistics
    Volume60
    Issue number2
    DOIs
    Publication statusPublished - Mar 2011

    Keywords

    • Bayesian methods
    • Dementia
    • Informative dropout
    • Markov chain Monte Carlo methods
    • Tobit

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