GBSG: German Breast Cancer Study Group.
In CoxRidge: Cox Models with Dynamic Ridge Penalties

Description Usage Format Source References Examples

A data frame containing the observations from the GBSG study.

1	data(GBSG)

This data frame contains the observations of 686 women:

id: patient id 1...686.
htreat: hormonal therapy, a factor at two levels 0 (no) and 1 (yes).
age: age of the patients in years.
menostat: menopausal status, a factor at two levels 1 (premenopausal) and 2 (postmenopausal).
tumsize: tumor size (in mm).
grade: tumor grade.
posnodal: number of positive nodes.
prm: progesterone receptor (in fmol).
esm: estrogen receptor (in fmol).
rfst: rfst recurrence free survival time (in days).
cens: censoring indicator (0 censored, 1 event).

Beyerle, R.L.A. Neumann and H.F. Rauschecker for the German Breast Cancer Study Group (1994). Randomized 2x 2 trial evaluating hormonal treatment and the duration of chemotherapy in nodepositive breast cancer patients. Journal of Clinical Oncology, 12, 2086-2093. W. Sauerbrei and P. Royston (1999). Building multivariable prognostic and diagnostic models: transformation of the predictors by using fractional polynomials. Journal of the Royal Statistics Society Series A, Volume 162(1), 71-94.

package(mfp)

1 2	data(GBSG) str(GBSG)

Loading required package: survival
Loading required package: splines
'data.frame':	686 obs. of  11 variables:
 $ id      : int  315 550 556 435 559 558 557 514 450 646 ...
 $ htreat  : int  0 1 0 0 0 0 0 1 1 0 ...
 $ age     : int  50 57 44 50 51 62 61 37 62 43 ...
 $ menostat: int  1 2 1 1 1 2 2 1 2 1 ...
 $ tumsize : int  29 60 70 18 50 22 18 20 20 32 ...
 $ grade   : int  1 3 2 3 2 2 3 2 2 2 ...
 $ posnodal: int  2 18 19 1 5 7 4 9 1 1 ...
 $ prm     : int  90 11 28 1 360 76 8 0 100 171 ...
 $ esm     : int  30 13 31 4 57 153 10 0 100 43 ...
 $ rfst    : int  8 15 16 17 17 18 29 42 46 57 ...
 $ cens    : int  0 0 0 0 0 0 0 0 0 0 ...