Model selection for univariable fractional polynomials
Patrick Royston
MRC Clinical Trials Unit
University College London
London, UK
[email protected]
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Abstract. Since Royston and Altman’s 1994 publication (Journal of the Royal
Statistical Society, Series C 43: 429–467), fractional polynomials
have steadily gained popularity as a tool for flexible parametric modeling of
regression relationships. In this article, I present fp_select, a
postestimation tool for fp that allows the user to select a parsimonious
fractional polynomial model according to a closed test procedure called the
fractional polynomial selection procedure or function selection procedure. I
also give a brief introduction to fractional polynomial models and provide
examples of using fp and fp_select to select such models with
real data.
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Patrick Royston
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fp_select, continuous covariate, fractional polynomials, regression models, model selection
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