German Breast Cancer Study Group 2
A data frame containing the observations from the GBSG2 study.
data("GBSG2")This data frame contains the observations of 686 women:
hormonal therapy, a factor at two levels no and
yes.
of the patients in years.
menopausal status, a factor at two levels pre
(premenopausal) and post (postmenopausal).
tumor size (in mm).
tumor grade, a ordered factor at levels I < II <
III.
number of positive nodes.
progesterone receptor (in fmol).
estrogen receptor (in fmol).
recurrence free survival time (in days).
censoring indicator (0- censored, 1- event).
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.
M. Schumacher, G. Basert, H. Bojar, K. Huebner, M. Olschewski, W. Sauerbrei, C. Schmoor, C. Beyerle, R.L.A. Neumann and H.F. Rauschecker for the German Breast Cancer Study Group (1994), Randomized 2\times2 trial evaluating hormonal treatment and the duration of chemotherapy in node-positive breast cancer patients. Journal of Clinical Oncology, 12, 2086–2093.
data(GBSG2)
thsum <- function(x) {
ret <- c(median(x), quantile(x, 0.25), quantile(x,0.75))
names(ret)[1] <- "Median"
ret
}
t(apply(GBSG2[,c("age", "tsize", "pnodes",
"progrec", "estrec")], 2, thsum))
table(GBSG2$menostat)
table(GBSG2$tgrade)
table(GBSG2$horTh)Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.