Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs-Reference-Cited by-同舟云学术

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

Published:2006-08 Issue:12 Volume:50 Page:3464-3485
ISSN:0167-9473
Container-title:Computational Statistics & Data Analysis
language:en
Short-container-title:Computational Statistics & Data Analysis

Author:

Sauerbrei W.,Meier-Hirmer C.,Benner A.,Royston P.

Publisher

Elsevier BV

Subject

Applied Mathematics,Computational Theory and Mathematics,Computational Mathematics,Statistics and Probability

Reference30 articles.

1. The dangers of using optimal cutpoints in the evaluation of prognostic factors;Altman;J. Nat. Cancer Inst.,1994

2. Fractional polynomial model selection procedures: investigation of type I error rate;Ambler;J. Statist. Simulation Comput.,2001

3. Inflation of the type I error rate when a continuous confounding variable is categorized in logistic regression analyses;Austin;Statist. Med.,2004

4. The concept of residual confounding in regression models and some applications;Becher;Statist. Med.,1992

5. An improper use of statistical significance testing in study covariables;Dales;Internat. J. Epidemiol.,1978

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