okiss: Bloodstream infections in stem-cell transplanted patients

In compeir: Event-specific incidence rates for competing risks data

Description

A random subsample of 1000 patients from ONKO-KISS, part of the surveillance program of the German National Reference Centre for Surveillance of Hospital-Acquired Infections. Patients have been treated by peripheral blood stem-cell transplantation. After transplantation, patients are neutropenic. Occurrence of bloodstream infection during neutropenia is a severe complication.

Usage

data(okiss)

Format

A data frame with 1000 observations on the following 4 variables.

time

Time of neutropenia until first event in days

status

Event status indicator. 1: infection, 2: end of neutropenia, 7: death, 11: censored observation

allo

Covariate transplant type indicator: 0: autologous transplants, 1: allogeneic transplants

sex

Covariate sex indicator: f: female, m: male

Details

The challenge in this competing risks example is that autologous transplants in fact decreased the number of infections divided by the number of patients (i.e., iprop), but that they also increased the number of infections divided by the number of patient-days (i.e., irates).

Source

Beyersmann J., Dettenkofer M., Bertz H., Schumacher M. (2007) A competing risks analysis of bloodstream infection after stem-cell transplantation using subdistribution hazards and cause-specific hazards. Statistics in Medicine, 26,5360–5369. http://onlinelibrary.wiley.com/doi/10.1002/sim.3006/abstract

Grambauer, N., Schumacher, M., Dettenkofer, M. and Beyersmann, J. (2010) Incidence densities in a competing events setting. American Journal of Epidemiology 172,1077–1084. http://aje.oxfordjournals.org/lookup/doi/10.1093/aje/kwq246

Examples

data(okiss)

Example output

Loading required package: grid
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compeir documentation built on May 2, 2019, 5:47 a.m.