R: Breast cancer data sets used in Royston and Altman (2013)

gbsg {survival} | R Documentation

## 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

    data("gbsg")

### Format

A data set with 686 observations and 11 variables.

`pid`

  patient identifier

`age`

  age

`meno`

  menopausal status (0= premenopausal, 1= postmenopausal)

`size`

  tumor size

`grade`

  tumor grade

`nodes`

  number of positive lymph nodes

`pgr`

  progesterone receptors (fmol/l)

`er`

  estrogen receptors (fmol/l)

`hormon`

  hormonal therapy, 0= no, 1= yes

`rfstime`

  recurrnece free survival time; days to first of reccurence, death or last follow-up

`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

`rotterdam`

[Package survival version 3.2-7 Index]