summary.msm

print.summary.msm

Summary method for fitted <code>msm</code> models. This is simply a wrapper
around <code>prevalence.msm</code> which produces a table of observed and
expected state prevalences for each time, and for models with covariates,
<code>hazard.msm</code> to print hazard ratios with 95% confidence
intervals for covariate effects.

models

Functions for fitting continuous-time Markov and hidden
Markov multi-state models to longitudinal data.  Designed for
processes observed at arbitrary times in continuous time (panel data)
but some other observation schemes are supported. Both Markov
transition rates and the hidden Markov output process can be modelled
in terms of covariates, which may be constant or piecewise-constant
in time.

Christopher Jackson

Multi-State Markov and Hidden Markov Models in Continuous Time

summary.msm function

<dl><dt>object</dt>
<dd>A fitted multi-state model object, as returned by
<code>msm</code>.</dd>
<dt>hazard.scale</dt>
<dd>Vector with same elements as number of covariates on
transition rates. Corresponds to the increase in each covariate used to
calculate its hazard ratio. Defaults to all 1.</dd>
<dt>...</dt>
<dd>Further arguments passed to <code>prevalence.msm</code>.</dd></dl>

Arguments

C. H. Jackson <a href="/link/chris.jackson%40mrc-bsu.cam.ac.uk?package=msm&version=1.8.1" data-mini-rdoc="msm::chris.jackson@mrc-bsu.cam.ac.uk">chris.jackson@mrc-bsu.cam.ac.uk</a>

Author

Summarise a fitted multi-state model — summary.msm

<dl>

<dt>object</dt>
<dd>A fitted multi-state model object, as returned by
<code>msm</code>.</dd>


<dt>hazard.scale</dt>
<dd>Vector with same elements as number of covariates on
transition rates. Corresponds to the increase in each covariate used to
calculate its hazard ratio. Defaults to all 1.</dd>


<dt>...</dt>
<dd>Further arguments passed to <code>prevalence.msm</code>.</dd>

</dl>

C. H. Jackson <a href='mailto:chris.jackson@mrc-bsu.cam.ac.uk'>chris.jackson@mrc-bsu.cam.ac.uk</a>

summary.msm: Summarise a fitted multi-state model

Description

Usage

Value

Arguments

Author

See Also