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• W120051857 abstract "Determination of a transformation which better describes the functional relationship between the outcome and a continuous covariate may substantially improve the fit of a model. The so-called fractional polynomials approach was proposed to investigate in a systematic fashion possible improvements in fit by the use of non-linear functions. The approach may be used to combine variable selection with the determination of functional relationships for continuous regressors in a multivariable setting, and is applicable to a wide range of general regression models. We will demonstrate some advantages of this flexible family of parametric models by discussing several aspects of modelling the continuous risk factors in a large cohort study. We will also use data halving and the bootstrap to investigate whether the considerable flexibility of the fractional polynomials approach causes instability in the selected functions." @default.
• W120051857 created "2016-06-24" @default.
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• W120051857 date "2002-01-01" @default.
• W120051857 modified "2023-10-16" @default.
• W120051857 title "Determination of Functional Relationships for Continuous Variables by Using a Multivariable Fractional Polynomial Approach" @default.
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• W120051857 doi "https://doi.org/10.1007/3-540-36104-9_6" @default.
• W120051857 hasPublicationYear "2002" @default.
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