meanfinal_fmixmsm

Calculate the mean time from the start of the process to a final (or
"absorbing") state in a mixture multi-state model. Models with cycles are
not supported.

Flexible parametric models for time-to-event data,
including the Royston-Parmar spline model, generalized gamma and
generalized F distributions.  Any user-defined parametric
distribution can be fitted, given at least an R function defining
the probability density or hazard. There are also tools for
fitting and predicting from fully parametric multi-state models,
based on either cause-specific hazards or mixture models.

Christopher Jackson

flexsurv

Flexible Parametric Survival and Multi-State Models

Paul Metcalfe

Jordan Amdahl

Matthew T. Warkentin

Michael Sweeting

Kevin Kunzmann

meanfinal_fmixmsm function

<dl><dt>x</dt>
<dd>Object returned by <code>fmixmsm</code>, representing a multi-state
model built from piecing together mixture models fitted by
<code>flexsurvmix</code>.</dd>
<dt>newdata</dt>
<dd>Data frame or list of covariate values. If omitted for a
model with covariates, a default is used, defined by all combinations of
factors if the only covariates in the model are factors, or all covariate
values of zero if there are any non-factor covariates in the model.</dd>
<dt>final</dt>
<dd>If <code>TRUE</code> then the mean time to the final state is
calculated for each final state, by taking a weighted average of the mean
time to travel each pathway ending in that final state, weighted by the
probability of the pathway. If <code>FALSE</code> (the default) then a
separate mean is calculated for each pathway.</dd>
<dt>B</dt>
<dd>Number of simulations to use to compute 95% confidence intervals,
based on the asymptotic multivariate normal distribution of the basic
parameter estimates. If <code>B=NULL</code> then intervals are not computed.</dd></dl>

Arguments

Mean time to final state in a mixture multi-state model — meanfinal_fmixmsm

<dl>

<dt>x</dt>
<dd>Object returned by <code>fmixmsm</code>, representing a multi-state
model built from piecing together mixture models fitted by
<code>flexsurvmix</code>.</dd>


<dt>newdata</dt>
<dd>Data frame or list of covariate values. If omitted for a
model with covariates, a default is used, defined by all combinations of
factors if the only covariates in the model are factors, or all covariate
values of zero if there are any non-factor covariates in the model.</dd>


<dt>final</dt>
<dd>If <code>TRUE</code> then the mean time to the final state is
calculated for each final state, by taking a weighted average of the mean
time to travel each pathway ending in that final state, weighted by the
probability of the pathway. If <code>FALSE</code> (the default) then a
separate mean is calculated for each pathway.</dd>


<dt>B</dt>
<dd>Number of simulations to use to compute 95% confidence intervals,
based on the asymptotic multivariate normal distribution of the basic
parameter estimates. If <code>B=NULL</code> then intervals are not computed.</dd>

</dl>

meanfinal_fmixmsm: Mean time to final state in a mixture multi-state model

Description

Usage

Value

Arguments