R: Simulated data set based on an EORTC trial

eortc {coxme} | R Documentation

## Simulated data set based on an EORTC trial

### Description

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.

### Usage

    data(eortc)

### Format

A data frame with 2323 observations on the following 4 variables.

`y`

  survival time

`uncens`

  0=alive, 1=dead

`center`

  enrolling center, a number from 1 to 37

`trt`

  treatment arm, 0 or 1

### Details

This is used in the test suite for the code.

### Source

PhD thesis work of Jose Cortinas Abrahantes

### References

Cortinas Abrahantes, Jose; Burzykowski, Tomasz (2002), A version of the EM algorithm for proportional hazards models with random effects , Published in: Lecture Notes of the ICB Seminars. p. 15-20

### Examples

    data(eortc)
    coxme(Surv(y, uncens) ~ trt + (trt| center) + strata(center), eortc)

[Package coxme version 2.2-7 Index]