post_frailty_internal

Posterior Frailty Estimates and Variances for the 'Adapted Paik et Al.'s Model'

internal

Fits time-dependent shared frailty Cox model (specifically the adapted Paik et al.'s Model) based on the paper "Centre-Effect on Survival After Bone Marrow Transplantation: Application of Time-Dependent Frailty Models", by C.M. Wintrebert, H. Putter, A.H. Zwinderman and J.C. van Houwelingen (2004) <doi:10.1002/bimj.200310051>.

Alessandra Ragni

TimeDepFrail

Time Dependent Shared Frailty Cox Model

Giulia Romani

Chiara Masci

post_frailty_internal function

<dl><dt>optimal_params</dt>
<dd>Optimal parameters estimated by maximizing the log-likelihood function, through the constraint
multi-dimensional optmization method.</dd>
<dt>dataset</dt>
<dd>Dataset containing all the covariates/regressors.</dd>
<dt>time_to_event</dt>
<dd>Time-instant, in the follow-up, in which an individual faces the event or fails.
If an individual does not face the event in the follow-up, then the time-instant must assume a default value.</dd>
<dt>centre</dt>
<dd>Individual group/cluster membership.</dd>
<dt>time_axis</dt>
<dd>Temporal domain.</dd></dl>

Arguments

Posterior Frailty Estimates and Variances for the 'Adapted Paik et Al.'s Model' — post_frailty_internal

<dl>

<dt>optimal_params</dt>
<dd>Optimal parameters estimated by maximizing the log-likelihood function, through the constraint
multi-dimensional optmization method.</dd>


<dt>dataset</dt>
<dd>Dataset containing all the covariates/regressors.</dd>


<dt>time_to_event</dt>
<dd>Time-instant, in the follow-up, in which an individual faces the event or fails.
If an individual does not face the event in the follow-up, then the time-instant must assume a default value.</dd>


<dt>centre</dt>
<dd>Individual group/cluster membership.</dd>


<dt>time_axis</dt>
<dd>Temporal domain.</dd>

</dl>

post_frailty_internal: Posterior Frailty Estimates and Variances for the 'Adapted Paik et Al.'s Model'

Description

Usage

Value

Arguments