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Linear, nonlinear or categorical: how to treat complex associations in regression analyses? Polynomial transformations and fractional polynomials

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  • Carsten Schmidt
  • Till Ittermann
  • Andrea Schulz
  • Hans Grabe
  • Sebastian Baumeister

Abstract

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Suggested Citation

  • Carsten Schmidt & Till Ittermann & Andrea Schulz & Hans Grabe & Sebastian Baumeister, 2013. "Linear, nonlinear or categorical: how to treat complex associations in regression analyses? Polynomial transformations and fractional polynomials," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 58(1), pages 157-160, February.
    • Handle: RePEc:spr:ijphth:v:58:y:2013:i:1:p:157-160
    DOI: 10.1007/s00038-012-0362-0
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    References listed on IDEAS

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    1. Sauerbrei, W. & Meier-Hirmer, C. & Benner, A. & Royston, P., 2006. "Multivariable regression model building by using fractional polynomials: Description of SAS, STATA and R programs," Computational Statistics & Data Analysis, Elsevier, vol. 50(12), pages 3464-3485, August.
    2. Royston, P. & Sauerbrei, W., 2007. "Improving the robustness of fractional polynomial models by preliminary covariate transformation: A pragmatic approach," Computational Statistics & Data Analysis, Elsevier, vol. 51(9), pages 4240-4253, May.
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    Cited by:

    1. Alla Koblyakova & Michael White, 2017. "Supply driven mortgage choice," Urban Studies, Urban Studies Journal Limited, vol. 54(5), pages 1194-1210, April.

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