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VERSION:2.0
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTAMP:20190118T140301Z
DTSTART:20190320T140000Z
DTEND:20190320T150000Z
SUMMARY:Multi-state models for observed and latent cognitive function in
the older population
UID:{http://www.columbasystems.com/customers/uom/gpp/eventid/}hma-jqy064u
c-vwuahg
DESCRIPTION:Join us for this research seminar\, part of the Probability a
nd Statistics seminar series.\n\nDue to the ageing population there is a
growing interest in the statistical modelling of cognitive function in
old age. When analysing longitudinal data on ageing\, lost to follow-up
because of death cannot be ignored. One option is to model survival and
change of cognitive function jointly by specifying submodels for the two
processes and linking these models by individual-specific random effect
s.\n\nAnother option – and the topic of this seminar - is to use a conti
nuous-time multi-state survival model where a series of living states is
defined by the level of cognitive function and an additional dead state
is included. This multi-state approach is quite general and can be used
in many other applications in biostatistics\, social statistics\, and d
emography.\n\nThe seminar will start with introducing the continuous-tim
e multi-state survival model by discussing model specification\, maximum
likelihood estimation\, and some applications. The second part will pre
sent an extension of current methods: a hidden Markov model for modellin
g bivariate cognitive function\, where each state-dependent distribution
is a bivariate extension of the binomial distribution.\n\nThe methods w
ill be illustrated by using longitudinal data from a UK survey of the ol
der population.
STATUS:TENTATIVE
TRANSP:TRANSPARENT
CLASS:PUBLIC
LOCATION:Frank Adams 2\, Alan Turing Building\, Manchester
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