data_simu2

Simulated dataset 2 with continuous outcome

Based on random forest principle, 'DynForest' is able to include
multiple longitudinal predictors to provide individual predictions.
Longitudinal predictors are modeled through the random forest. The
methodology is fully described for a survival outcome in:
Devaux, Helmer, Genuer & Proust-Lima (2023)
<doi: 10.1177/09622802231206477>.

Anthony Devaux

DynForest

Random Forest with Multivariate Longitudinal Predictors

Robin Genuer

Cécile Proust-Lima

Louis Capitaine

data_simu2 function

Longitudinal dataset with 1200 rows and 13 columns for 200 subjects<dl>
<dt>id</dt>
<dd>Subject identifier</dd><dt>time</dt>
<dd>Time measurement</dd><dt>cont_covar1</dt>
<dd>Continuous time-fixed predictor 1</dd><dt>cont_covar2</dt>
<dd>Continuous time-fixed predictor 2</dd><dt>bin_covar1</dt>
<dd>Binary time-fixed predictor 1</dd><dt>bin_covar2</dt>
<dd>Binary time-fixed predictor 2</dd><dt>marker1</dt>
<dd>Continuous time-dependent predictor 1</dd><dt>marker2</dt>
<dd>Continuous time-dependent predictor 2</dd><dt>marker3</dt>
<dd>Continuous time-dependent predictor 3</dd><dt>marker4</dt>
<dd>Continuous time-dependent predictor 4</dd><dt>marker5</dt>
<dd>Continuous time-dependent predictor 5</dd><dt>marker6</dt>
<dd>Continuous time-dependent predictor 6</dd><dt>Y_res</dt>
<dd>Continuous outcome</dd>
</dl>

Format

data_simu1 dataset — data_simu2

Longitudinal dataset with 1200 rows and 13 columns for 200 subjects<dl>
<dt>id</dt>
<dd>Subject identifier</dd>

<dt>time</dt>
<dd>Time measurement</dd>

<dt>cont_covar1</dt>
<dd>Continuous time-fixed predictor 1</dd>

<dt>cont_covar2</dt>
<dd>Continuous time-fixed predictor 2</dd>

<dt>bin_covar1</dt>
<dd>Binary time-fixed predictor 1</dd>

<dt>bin_covar2</dt>
<dd>Binary time-fixed predictor 2</dd>

<dt>marker1</dt>
<dd>Continuous time-dependent predictor 1</dd>

<dt>marker2</dt>
<dd>Continuous time-dependent predictor 2</dd>

<dt>marker3</dt>
<dd>Continuous time-dependent predictor 3</dd>

<dt>marker4</dt>
<dd>Continuous time-dependent predictor 4</dd>

<dt>marker5</dt>
<dd>Continuous time-dependent predictor 5</dd>

<dt>marker6</dt>
<dd>Continuous time-dependent predictor 6</dd>

<dt>Y_res</dt>
<dd>Continuous outcome</dd>


</dl>

data_simu2: data_simu1 dataset

Description

Arguments

Format

Examples