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




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.

See also