sir.cont {etm}R Documentation

Ventilation status in intensive care unit patients

Description

Time-dependent ventilation status for intensive care unit (ICU) patients, a random sample from the SIR-3 study.

Usage

data(sir.cont)

Format

A data frame with 1161 rows and 4 columns:

id:
Randomly generated patient id
from:
State from which a transition occurs
to:
State to which a transition occurs
time:
Time when a transition occurs

The possible states are:

0: No ventilation

1: Ventilation

2: End of stay

And cens stands for censored observations.

Details

This data frame consists in a random sample of the SIR-3 cohort data. It focuses on the effect of ventilation on the length of stay (combined endpoint discharge/death). Ventilation status is considered as a transcient state in an illness-death model.

The data frame is directly formated to be used with the mvna function, i.e. it is transition-oriented with one row per transition.

References

Beyersmann, J., Gastmeier, P., Grundmann, H., Baerwolff, S., Geffers, C., Behnke, M., Rueden, H., and Schumacher, M. Use of multistate models to assess prolongation of intensive care unit stay due to nosocomial infection. Infection Control and Hospital Epidemiology, 27:493-499, 2006.

Examples

data(sir.cont)

[Package etm version 0.3-7 Index]