bmt1 {surv2sample}R Documentation

Bone Marrow Transplant Data

Description

Data on the treatment of leukaemia by the bone marrow transplantation from two types of donors (HLA-identical sibling, HLA-matched unrelated), with two competing causes of failure (relapse, death in remission).

Usage

data(bmt1)

Format

A data frame with 1607 observations on the following 3 variables:

time
time from bone marrow transplantation, in months
event
0 = censoring, 1 = relapse (recurrence of the primary disease), 2 = death in remission (treatment related mortality)
donor
1 = HLA-identical sibling donor, 2 = HLA-matched unrelated donor (HLA = human leukocyte antigen)

Source

Klein, J. P. and Andersen, P. K. (2005) Regression modeling of competing risks data based on pseudovalues of the cumulative incidence function. Biometrics 61, 223–229.

The original dataset was obtained from the website of Biometrics (http://biometrics.tibs.org/), where it is available as supplementary material to Klein and Andersen's paper (direct link: http://biometrics.tibs.org/datasets/031209.txt). This is a subset (1607 observations) of the original dataset (1715), 108 cases with mismatched unrelated donors were omitted.

Examples

data(bmt1)

## plot aggregate cumulative incidence functions for each
## donor type
with(bmt1, plot(cif(Survcomp(time, event), donor)))

[Package surv2sample version 0.1-2 Index]