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Flexible Regression Models with Cubic Splines

Overview
Journal Stat Med
Publisher Wiley
Specialty Public Health
Date 1989 May 1
PMID 2657958
Citations 1155
Authors
Affiliations
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Abstract

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.

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