Description Usage Format Source References Examples
This data set is a random sample drawn from the SIR-3 study that aimed at analysing the effect of nosocomial infections on the length of ICU stay. Patients were included in the study if they had stayed at least 1 day in the unit. The sample includes information to assess the effect of nosocomial pneumonia on the length of stay. The endpoint is either discharge alive from the ICU or dead in the unit. These data are censoring complete as the censoring time is known for all patients.
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A data frame with 1421 observations on the following 8 variables.
id
Individual patient id.
start
Start of the observation time.
stop
Failure time.
status
Censoring status. 0 if the observation is censored, 1 otherwise.
event
Event type. 2 is death in ICU, 3 is discharge alive
pneu
Nosocomial pneumonia indicator.
adm.cens.exit
Exit times for patients discharged alive are replaced by their administrative censoring times.
age
Age at inclusion
sex
Sex. F
for female and M
for male
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.
Beyersmann, J. and Schumacher, M. (2008). Time-dependent covariates in the proportional hazards model for competing risks. Biostatistics, 9:765–776.
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