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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.
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pid -
patient identifier
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age -
age, years
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meno -
menopausal status (0= premenopausal, 1= postmenopausal)
-
size -
tumor size, mm
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grade -
tumor grade
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nodes -
number of positive lymph nodes
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pgr -
progesterone receptors (fmol/l)
-
er -
estrogen receptors (fmol/l)
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hormon -
hormonal therapy, 0= no, 1= yes
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rfstime -
recurrence free survival time; days to first of reccurence, death or last follow-up
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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.