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- An
autoregressive
linear mixed
effects model
for the
analysis of
longitudinal
data which
show profiles
approaching
asymptotes: Statistics in
Medicine, Vol.
26, No. 9.
(2007), pp.
2113-2130.In
longitudinal
data, a
continuous
response
sometimes
shows a
profile
approaching an
asymptote. For
such data, we
propose a new
class of
models,
autoregressive
linear mixed
effects models
in which the
current
response is
regressed on
the previous
response,
fixed effects,
and random
effects.
Asymptotes can
shift
depending on
treatment
groups,
individuals,
and so on, and
can be
modelled by
fixed and
random
effects. We
also propose
error
structures
that are
useful in
practice. The
estimation
methods of
linear mixed
effects models
can be used as
long as there
is no
intermittent
missing.
Copyright ©
2006 John
Wiley & Sons,
Ltd.
Source: Statistics in Medicine, Vol. 26, No. 9. (2007), pp. 2113-2130.
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