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Estimating Optimum Body Mass Index: A Simulation Study Comparing Fractional Polynomials and Generalized Additive Model
DOI 10.1055/s-0037-1605957
Bibliografische Angaben
Nachweis in CareLit
Autor:innenPeter, R.; Mayer, B.; Klenk, J.; Nagel, G.
ZeitschriftDas Gesundheitswesen
Ausgabe8/09/2017
Jahrgang / SeitenJg. 79 · S. 1 bis 1
Kernaussage aus der Literatur
Abstract-Vorschau
Introduction: In recent years fractional polynomials (FP) as well as generalized additive models (GAM) have been increasingly used to estimate the optimum body mass index (BMI) in terms of lowest mortality. However, to date it has not been investigated which of these different models is most appropriate for estimating the optimum BMI. Methods: We assumed three different scenarios for the BMI mortality relation: symm…
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Zitierempfehlung
Peter, R.; Mayer, B.; Klenk, J.; Nagel, G (2017) Estimating Optimum Body Mass Index: A Simulation Study Comparing Fractional Polynomials and Generalized Additive Model. Das Gesundheitswesen, 79 (8/09), 1 bis 1. https://doi.org/10.1055/s-0037-1605957
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