Survival times of 686 patients with primary node positive breast cancer.
A data frame with 686 rows.
| ||(numeric)||1=dead, 0=censored|
| ||(numeric)||Time of death or censoring in days|
|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
stpm (Royston 2001, 2004) and
stpm2 (Lambert 2009, 2010)
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.
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