bc | R Documentation |

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

bc

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). | ||

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.

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.

`flexsurvspline`

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