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International Journal of Public Health

Erschienen in:

01.02.2013 | Hints & Kinks

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

verfasst von: Carsten Oliver Schmidt, Till Ittermann, Andrea Schulz, Hans J. Grabe, Sebastian E. Baumeister

Erschienen in: International Journal of Public Health | Ausgabe 1/2013

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Nonlinear approaches to assess exposure-outcome relations are still fairly uncommon in public health research. The predominant reliance on linear associations and categorized continuous predictors is surprising, given the availability of powerful alternatives with sophisticated and user friendly software implementations. This simplicity threatens one of the major aims in regression analyses: to obtain an unbiased mean estimate of the dependent variable conditional on the predictor variables. …

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Titel: Linear, nonlinear or categorical: how to treat complex associations in regression analyses? Polynomial transformations and fractional polynomials
verfasst von: Carsten Oliver Schmidt
Till Ittermann
Andrea Schulz
Hans J. Grabe
Sebastian E. Baumeister
Publikationsdatum: 01.02.2013
Verlag: SP Birkhäuser Verlag Basel
Erschienen in: International Journal of Public Health / Ausgabe 1/2013
Print ISSN: 1661-8556
Elektronische ISSN: 1661-8564
DOI: https://doi.org/10.1007/s00038-012-0362-0

Springer Medizin

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