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The Stata Journal
Volume 17 Number 3: pp. 619-629

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Model selection for univariable fractional polynomials

Patrick Royston
MRC Clinical Trials Unit
University College London
London, UK
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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