simuDat


A simulated data frame with covariates named 
<code>ID</code>, <code>time</code>, <code>event</code>, <code>group</code> and <code>x1</code>,
where
<ul>
<li> <code>ID</code>: Subjects identification;
    </li>
<li> <code>time</code>: Event or censoring time;
    </li>
<li> <code>event</code>: Event indicator, 1 = event, 0 = censored;
    </li>
<li> <code>group</code>: Treatment group indicator;
    </li>
<li> <code>x1</code>: Continuous variable. 
</li>
</ul><p></p><p></p>

Functions that fit gamma frailty model with spline or piecewise
constant baseline rate function for recurrent event data, compute and
plot parametric mean cumulative function (MCF) from a fitted model
as well as nonparametric sample MCF (Nelson-Aalen estimator) are provided.
Most functions are S4 methods that produce S4 class objects.

Wenjie Wang

reda

Recurrent Event Data Analysis

simuDat function

A data frame with 500 rows and 5 variables.

simuDat: Simulated Sample Dataset for Demonstration

Description

Arguments

Format

Details

References