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