ydata

The <code>ydata</code> data frame has 3067 rows and 6 columns.

datasets

Maximum likelihood estimation for the semi-parametric joint modeling of competing risks and (multivariate) longitudinal data applying customized linear scan algorithms, proposed by Li and colleagues (2022) <doi:10.1155/2022/1362913>.
The time-to-event data is modelled using a (cause-specific) Cox proportional hazards regression model with time-fixed covariates. The longitudinal
outcome is modelled using a linear mixed effects model. The association is captured by shared random effects. The model
is estimated using an Expectation Maximization algorithm.

Shanpeng Li

FastJM

Semi-Parametric Joint Modeling of Longitudinal and Survival Data

Ning Li

Hong Wang

Jin Zhou

Hua Zhou

Gang Li

ydata function

This data frame contains the following columns:
<dl> <dt><code>ID</code></dt>
<dd>patient identifier.</dd>
 <dt><code>response</code></dt>
<dd>response variable.</dd>
 <dt><code>time</code></dt>
<dd>visit time.</dd>
 <dt><code>x1</code></dt>
<dd>treatment indicator. <code>0</code> denotes the placebo group and <code>1</code> the treatment group.</dd> 
 <dt><code>gender</code></dt>
<dd>gender indicator.</dd> 
 <dt><code>race</code></dt>
<dd>race indicator.</dd> 
</dl>

Format

Simulated longitudinal data — ydata

This data frame contains the following columns:
<dl>

 <dt><code>ID</code></dt>
<dd>patient identifier.</dd>


 <dt><code>response</code></dt>
<dd>response variable.</dd>


 <dt><code>time</code></dt>
<dd>visit time.</dd>


 <dt><code>x1</code></dt>
<dd>treatment indicator. <code>0</code> denotes the placebo group and <code>1</code> the treatment group.</dd>

 
 <dt><code>gender</code></dt>
<dd>gender indicator.</dd>

 
 <dt><code>race</code></dt>
<dd>race indicator.</dd>

 
</dl>

ydata: Simulated longitudinal data

Description

Usage

Arguments

Format