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
data(cancer, package="survival")

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.

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 June 22, 2024, 10:49 a.m.