R: Breast cancer survival data

bc {flexsurv} | R Documentation

## Breast cancer survival data

### Description

Survival times of 686 patients with primary node positive breast cancer.

### Usage

    bc

### Format

A data frame with 686 rows.

`censrec` | (numeric) | 1=dead, 0=censored
`rectime` | (numeric) | Time of death or censoring in days
`group` | (numeric) | Prognostic group: `"Good"`,`"Medium"` or `"Poor"`,
|  | from a regression model developed by Sauerbrei and Royston (1999).

### Source

German Breast Cancer Study Group, 1984-1989. Used as a reference dataset for the spline-based survival model of Royston and Parmar (2002), implemented here in `flexsurvspline`. Originally provided with the `stpm` (Royston 2001, 2004) and `stpm2` (Lambert 2009, 2010) Stata modules.

### References

Royston, P. and Parmar, M. (2002). Flexible parametric proportional-hazards and proportional-odds models for censored survival data, with application to prognostic modelling and estimation of treatment effects. Statistics in Medicine 21(1):2175-2197.

Sauerbrei, W. and Royston, P. (1999). Building multivariable prognostic and diagnostic models: transformation of the predictors using fractional polynomials. Journal of the Royal Statistical Society, Series A 162:71-94.

### See Also

`flexsurvspline`

[Package flexsurv version 2.0 Index]