ydatah

The <code>ydatah</code> data frame has 1353 rows and 6 columns.

datasets

Implements scalable joint models for large-scale competing risks time-to-event data with one or multiple longitudinal biomarkers using the efficient algorithms developed by Li et al. (2022) <doi:10.1155/2022/1362913> and <doi:10.48550/arXiv.2506.12741>.
The time-to-event process is modeled using a cause-specific Cox proportional hazards model
with time-fixed covariates, while longitudinal biomarkers are modeled
using linear mixed-effects models. The association between the longitudinal
and survival processes is captured through shared random effects. The
package enables analysis of large-scale biomedical data to model biomarker
trajectories, estimate their effects on event risks, and perform dynamic
prediction of future events based on patients' longitudinal histories.
Functions for simulating survival and longitudinal data for multiple
biomarkers are included, along with built-in example datasets. The package
also supports modeling a single biomarker with heterogeneous within-subject
variability via functionality adapted from the 'JMH' package.

Shanpeng Li

FastJM

Semi-Parametric Joint Modeling of Longitudinal and Survival Data

Ace Mejia-Sanchez

Emily Ouyang

Gang Li

ydatah function

This data frame contains the following columns:
<dl> <dt><code>ID</code></dt>
<dd>patient identifier.</dd>
 <dt><code>Y</code></dt>
<dd>response variable.</dd>
 <dt><code>time</code></dt>
<dd>visit time.</dd>
 <dt><code>Z1</code></dt>
<dd>treatment indicator. <code>0</code> denotes the placebo group and <code>1</code> the treatment group.</dd> 
 <dt><code>Z2</code></dt>
<dd>continuous variable..</dd> 
 <dt><code>Z3</code></dt>
<dd>continuous variable..</dd> 
</dl>

Format

Simulated longitudinal data with within-subject variance — ydatah

This data frame contains the following columns:
<dl>

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


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


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


 <dt><code>Z1</code></dt>
<dd>treatment indicator. <code>0</code> denotes the placebo group and <code>1</code> the treatment group.</dd>

 
 <dt><code>Z2</code></dt>
<dd>continuous variable..</dd>

 
 <dt><code>Z3</code></dt>
<dd>continuous variable..</dd>

 
</dl>

ydatah: Simulated longitudinal data with within-subject variance

Description

Usage

Arguments

Format