data.manag.surv

Estimation of mixed models including a subject-specific variance which can be time and covariate dependent. In the joint model framework, the package handles left truncation and allows a flexible dependence structure between the competing events and the longitudinal marker. The estimation is performed under the frequentist framework, using the Marquardt-Levenberg algorithm. (Courcoul, Tzourio, Woodward, Barbieri, Jacqmin-Gadda (2023) <arXiv:2306.16785>).

Léonie Courcoul

FlexVarJM

Estimate Joint Models with Subject-Specific Variance

Antoine Barbieri

Hélène Jacqmin-Gadda

data.manag.surv function

<dl><dt>formGroup</dt>
<dd>A formula which indicates the group variable</dd>
<dt>formSurv</dt>
<dd>A formula which indicates the variables used in the survival submodel</dd>
<dt>data.long1</dt>
<dd>Database</dd>
<dt>formSurv_CompRisk</dt>
<dd>A formula which indicates the variables used in the competing survival submodel</dd></dl>

Arguments

Management of survival data — data.manag.surv

<dl>

<dt>formGroup</dt>
<dd>A formula which indicates the group variable</dd>


<dt>formSurv</dt>
<dd>A formula which indicates the variables used in the survival submodel</dd>


<dt>data.long1</dt>
<dd>Database</dd>


<dt>formSurv_CompRisk</dt>
<dd>A formula which indicates the variables used in the competing survival submodel</dd>

</dl>

data.manag.surv: Management of survival data

Description

Usage

Value

Arguments