summary.mlpmmfit

Utility function to extract the MLPMM summaries from a model fit
obtained through `fit_mlpmms`

Computes penalized regression calibration (PRC), a
statistical method for the dynamic prediction of survival when many
longitudinal predictors are available. See Signorelli (2024)
<doi:10.32614/RJ-2024-014> and Signorelli et al. (2021)
<doi:10.1002/sim.9178> for details.

Mirko Signorelli

pencal

Penalized Regression Calibration (PRC) for the Dynamic
Prediction of Survival

Pietro Spitali

Roula Tsonaka

Barbara Vreede

summary.mlpmmfit function

<dl><dt>object</dt>
<dd>the output of `fit_lmms`</dd>
<dt>yname</dt>
<dd>a character giving the name of one of the longitudinal
outcomes modelled within one of the MLPMM</dd>
<dt>...</dt>
<dd>additional arguments</dd></dl>

Arguments

Author

Extract model fits from step 1 of PRC-LMM — summary.mlpmmfit

<dl>

<dt>object</dt>
<dd>the output of `fit_lmms`</dd>


<dt>yname</dt>
<dd>a character giving the name of one of the longitudinal
outcomes modelled within one of the MLPMM</dd>


<dt>...</dt>
<dd>additional arguments</dd>

</dl>

summary.mlpmmfit: Extract model fits from step 1 of PRC-LMM

Description

Usage

Value

Arguments

Author

References

See Also