GBSG2 {TH.data} | R Documentation

## German Breast Cancer Study Group 2

### Description

A data frame containing the observations from the GBSG2 study.

### Usage

    data("GBSG2")

### Format

This data frame contains the observations of 686 women:

horTh

  hormonal therapy, a factor at two levels `no` and `yes`.

age

  of the patients in years.

menostat

  menopausal status, a factor at two levels `pre` (premenopausal) and `post` (postmenopausal).

tsize

  tumor size (in mm).

tgrade

  tumor grade, a ordered factor at levels `I < II < III`.

pnodes

  number of positive nodes.

progrec

  progesterone receptor (in fmol).

estrec

  estrogen receptor (in fmol).

time

  recurrence free survival time (in days).

cens

  censoring indicator (0- censored, 1- event).

### Source

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.

### References

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.

### Examples

    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)

[Package TH.data version 1.0-7 Index]