Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs

By Willi Sauerbrei, C. Meier-Hirmer, Axel Benner, Patrick Royston. Computational Statistics & Data Analysis, 2006

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Selection of important variables and determination of functional form for continuous predictors in multivariable model building (2007, background): “3), computer programs for the situations mentioned are available [21].”
Identifying critically ill patients who benefit the most from nutrition therapy: the development and initial validation of a novel risk assessment tool (2011, result): “Nevertheless, we did confirm that the multivariable fractional polynomial approach proposed by Saurerbrei and Royston yielded a similar model with no improvement in performance (data not shown) [20,21].”
Eight Simple Guidelines for Improved Understanding of Transformations and Nonlinear Effects (2021, background): “Another alternative is the use of fractional polynomials (Nikolaeva et al., 2015; Royston & Sauerbrei, 2008; Sauerbrei et al., 2006), but this strategy was not applied in any of the reviewed articles.”
Dichotomizing continuous predictors in multiple regression: a bad idea (2006, methodology): “For model building with continuous data, software is available for methods such as multivariable fractional polynomials [31, 32] and GAMs (e.”