gbsg 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
    Copyright (©) 1999–2012 R Foundation for Statistical Computing.
Licensed under the GNU General Public License.