Fractional polynomial model selection procedures: investigation of type i error rate

By G. Ambler, Patrick Royston. 2001

115 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Management Science and Operations Research

View Paper: https://www.semanticscholar.org/paper/d93cc8ae4b0ee82297ec0ba9fd1f054829adcbb4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Willi Sauerbrei
2. Harald Binder
3. C. Meier-Hirmer
4. Axel Benner
5. Patrick Royston

In Management Science and Operations Research

1. Willi Sauerbrei
2. Harald Binder
3. C. Meier-Hirmer
4. Axel Benner
5. Patrick Royston

Citations in the corpus

• Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs (2006, methodology): “Several promising results from simulation studies on fractional polynomials are already available (Ambler and Royston, 2001; Holländer and Schumacher, 2005).”
• Selection of important variables and determination of functional form for continuous predictors in multivariable model building (2007, methodology): “To counter this, Royston and Sauerbrei [27] proposed a two-stage covariate transformation to smoothly ‘pull in’ extreme observations and then shift the origin away from zero.”