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

DOI10.1016/j.csda.2005.07.015zbMath1445.62008OpenAlexW2088239637MaRDI QIDQ959428

Axel Benner, C. Meier-Hirmer, Willi Sauerbrei, Patrick Royston

Publication date: 11 December 2008

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2005.07.015

zbMATH Keywords

fractional polynomialsprogramsfunction selectionmultivariable model building

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (5)

Comparing penalized splines and fractional polynomials for flexible modelling of the effects of continuous predictor variables ⋮ Existence criteria of solutions for a fractional nonlocal boundary value problem and degeneration to corresponding integer-order case ⋮ Properties and calculation of multivariate risk measures: MVaR and MCVaR ⋮ Bayesian fractional polynomials ⋮ Editorial: Statistical learning methods including dimensionality reduction

Uses Software

• R
• Stata
• SAS

Cites Work

• Unnamed Item
• Evaluating the effect of optimized cutoff values in the assessment of prognostic factors
• Improving the robustness of fractional polynomial models by preliminary covariate transformation: a pragmatic approach
• Fractional polynomial model selection procedures: investigation of type i error rate
• Maximally Selected Chi Square Statistics
• On closed testing procedures with special reference to ordered analysis of variance
• The Use of Resampling Methods to Simplify Regression Models in Medical Statistics

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