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

International Journal of Public Health volume 58, pages 157–160 (2013)Cite this article

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Acknowledgments

SHIP is part of the Community Medicine Research net of the University of Greifswald, Germany, which is funded by the Federal Ministry of Education and Research (Grants no. 01ZZ9603, 01ZZ0103, and 01ZZ0403), the Ministry of Cultural Affairs and the Social Ministry of the Federal State of Mecklenburg-West Pomerania. This work was also funded by the German Research Foundation (DFG: GR 1912/5-1).

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Affiliations

  1. Institute for Community Medicine, SHIP-KEF, University Medicine of Greifswald, Walther-Rathenau Str. 48, 17475, Greifswald, Germany

    Carsten Oliver Schmidt, Till Ittermann & Sebastian E. Baumeister

  2. Department of Psychiatry and Psychotherapy, University of Greifswald, Greifswald, Germany

    Andrea Schulz & Hans J. Grabe

Authors
  1. Carsten Oliver Schmidt
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  2. Till Ittermann
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  3. Andrea Schulz
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  4. Hans J. Grabe
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  5. Sebastian E. Baumeister
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Correspondence to Carsten Oliver Schmidt.

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Schmidt, C.O., Ittermann, T., Schulz, A. et al. Linear, nonlinear or categorical: how to treat complex associations in regression analyses? Polynomial transformations and fractional polynomials. Int J Public Health 58, 157–160 (2013). https://doi.org/10.1007/s00038-012-0362-0

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  • DOI: https://doi.org/10.1007/s00038-012-0362-0

Keywords

  • Regression analysis
  • Nonlinear modelling
  • Linear models
  • Categorization
  • Polynomials
  • Fractional polynomials