Flexible regression models with cubic splines
Article first published online: 12 OCT 2006
Copyright © 1989 John Wiley & Sons, Ltd.
Statistics in Medicine
Volume 8, Issue 5, pages 551–561, May 1989
How to Cite
Durrleman, S. and Simon, R. (1989), Flexible regression models with cubic splines. Statist. Med., 8: 551–561. doi: 10.1002/sim.4780080504
- Issue published online: 12 OCT 2006
- Article first published online: 12 OCT 2006
- Manuscript Revised: OCT 1988
- Manuscript Received: JUL 1988
- Smoothing splines;
- Non-parametric regression;
- Piecewise polynomials
We describe the use of cubic splines in regression models to represent the relationship between the response variable and a vector of covariates. This simple method can help prevent the problems that result from inappropriate linearity assumptions. We compare restricted cubic spline regression to non-parametric procedures for characterizing the relationship between age and survival in the Stanford Heart Transplant data. We also provide an illustrative example in cancer therapeutics.