mvcdata

The <code>mvcdata</code> data frame has 500 rows and 5 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

mvcdata function

This data frame contains the following columns:
<dl> <dt><code>ID</code></dt>
<dd>patient identifier.</dd> <dt><code>survtime</code></dt>
<dd>event time.</dd>
 <dt><code>cmprsk</code></dt>
<dd>event indicator. <code>0</code> denotes censoring, <code>1</code> risk 1, 
 and <code>2</code> risk 2.</dd> 
 <dt><code>X21</code></dt>
<dd>X21.</dd> 
 <dt><code>X22</code></dt>
<dd>X22.</dd> 
</dl>

Format

Simulated competing risks data correlated with mvydata — mvcdata

This data frame contains the following columns:
<dl>

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

 <dt><code>survtime</code></dt>
<dd>event time.</dd>


 <dt><code>cmprsk</code></dt>
<dd>event indicator. <code>0</code> denotes censoring, <code>1</code> risk 1, 
 and <code>2</code> risk 2.</dd>

 
 <dt><code>X21</code></dt>
<dd>X21.</dd>

 
 <dt><code>X22</code></dt>
<dd>X22.</dd>

 
</dl>

mvcdata: Simulated competing risks data correlated with mvydata

Description

Usage

Arguments

Format