cdata

The <code>cdata</code> data frame has 1000 rows and 7 columns.

datasets

A joint model for large-scale, competing risks time-to-event data with singular or multiple longitudinal biomarkers, implemented with the efficient algorithms developed by Li and colleagues (2022) <doi:10.1155/2022/1362913> and <doi:10.48550/arXiv.2506.12741>.
The time-to-event data is modelled using a (cause-specific) Cox
proportional hazards regression model with time-fixed covariates.
The longitudinal biomarkers are modelled using a linear mixed
effects model. The association between the longitudinal submodel
and the survival submodel is captured through shared random
effects. It allows researchers to analyze large-scale data to
model biomarker trajectories, estimate their effects on event
outcomes, and dynamically predict future events from patients’
past histories. A function for simulating survival and longitudinal
data for multiple biomarkers is also included alongside built-in
datasets.

Shanpeng Li

FastJM

Semi-Parametric Joint Modeling of Longitudinal and Survival Data

Ning Li

Emily Ouyang

Hong Wang

Jin Zhou

Hua Zhou

Gang Li

cdata function

This data frame contains the following columns:
<dl> <dt><code>ID</code></dt>
<dd>patient identifier.</dd> <dt><code>surv</code></dt>
<dd>event time.</dd>
 <dt><code>failure_type</code></dt>
<dd>event indicator. <code>0</code> denotes censoring, <code>1</code> risk 1, 
 and <code>2</code> risk 2.</dd>
 <dt><code>x1</code></dt>
<dd>continuous variable.</dd>
 <dt><code>x2</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 competing risks data correlated with ydata — cdata

This data frame contains the following columns:
<dl>

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

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


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


 <dt><code>x1</code></dt>
<dd>continuous variable.</dd>


 <dt><code>x2</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>

cdata: Simulated competing risks data correlated with ydata

Description

Usage

Arguments

Format