GBSG: German Breast Cancer Study Group

In mfp: Multivariable Fractional Polynomials

German Breast Cancer Study Group

Description

A data frame containing the observations from the GBSG study.

Usage

data(GBSG)

Format

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

of the patients in years.

menostat

menopausal status, a factor at two levels 1 (premenopausal) and 2 (postmenopausal).

tumsize

tumor size (in mm).

tumgrad

tumor grade, a ordered factor at levels 1 < 2 < 3.

posnodal

number of positive nodes.

prm

progesterone receptor (in fmol).

esm

estrogen receptor (in fmol).

rfst

recurrence free survival time (in days).

cens

censoring indicator (0 censored, 1 event).

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 \times 2 trial evaluating hormonal treatment and the duration of chemotherapy in node-positive 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.

Examples

    data(GBSG)
    mfp(Surv(rfst, cens) ~ fp(age, df = 2, select = 0.05)
                 + fp(prm, df = 4, select = 0.05), family = cox, data = GBSG)

mfp documentation built on July 26, 2023, 5:30 p.m.