eortc

This is a simulated surival data set for investigating random
 center effects. To make it realistic, the number of centers and
 their sizes is based on an EORTC cancer trial.

datasets

Fit Cox proportional hazards models containing both
fixed and random effects.  The random effects can have a general form, of which
familial interactions (a "kinship" matrix) is a particular special case.
Note that the simplest case of a mixed effects Cox model, i.e. a single random
per-group intercept, is also called a "frailty" model.  The approach is based
on Ripatti and Palmgren, Biometrics 2002.

Terry Therneau

coxme

Mixed Effects Cox Models

eortc function

A data frame with 2323 observations on the following 4 variables.<dl>
 <dt><code>y</code></dt>
<dd>survival time</dd> <dt><code>uncens</code></dt>
<dd>0=alive, 1=dead</dd> <dt><code>center</code></dt>
<dd>enrolling center, a number from 1 to 37</dd> <dt><code>trt</code></dt>
<dd>treatment arm, 0 or 1</dd> 
</dl>

Format

Simulated data set based on an EORTC trial — eortc

A data frame with 2323 observations on the following 4 variables.<dl>
 <dt><code>y</code></dt>
<dd>survival time</dd>

 <dt><code>uncens</code></dt>
<dd>0=alive, 1=dead</dd>

 <dt><code>center</code></dt>
<dd>enrolling center, a number from 1 to 37</dd>

 <dt><code>trt</code></dt>
<dd>treatment arm, 0 or 1</dd>

 
</dl>

eortc: Simulated data set based on an EORTC trial

Description

Usage

Arguments

Format

Details

References

Examples