gbsg: Breast cancer data sets used in Royston and Altman (2013)

In survival: Survival Analysis

Breast cancer data sets used in Royston and Altman (2013)

Description

The gbsg data set contains patient records from a 1984-1989 trial conducted by the German Breast Cancer Study Group (GBSG) of 720 patients with node positive breast cancer; it retains the 686 patients with complete data for the prognostic variables.

Usage

gbsg
rotterdam

Format

A data set with 686 observations and 11 variables.

pid

patient identifier

age

age, years

meno

menopausal status (0= premenopausal, 1= postmenopausal)

size

tumor size, mm

grade

tumor grade

nodes

number of positive lymph nodes

pgr

progesterone receptors (fmol/l)

er

estrogen receptors (fmol/l)

hormon

hormonal therapy, 0= no, 1= yes

rfstime

recurrence free survival time; days to first of reccurence, death or last follow-up

status

0= alive without recurrence, 1= recurrence or death

Details

These data sets are used in the paper by Royston and Altman. The Rotterdam data is used to create a fitted model, and the GBSG data for validation of the model. The paper gives references for the data source.

Note

The usage above assumes that the survival package is attached via library(survival) or via another package that depends on survival, e.g., mstate. If not, then either survival::gbsg or data(cancer, package="survival") can be used.

References

Patrick Royston and Douglas Altman, External validation of a Cox prognostic model: principles and methods. BMC Medical Research Methodology 2013, 13:33

See Also

rotterdam

survival documentation built on Sept. 10, 2026, 1:07 a.m.