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G. G. C. Kuhnle

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Physiology· 1

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H. Schroeter· 1 shared J. I. Ottaviani· 1 shared V. Sagi-Kiss· 1 shared

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2023-2023 · peak 1/yr

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1 shared paperPhysiology

H. Schroeter

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1 paper

Recent·Most cited

PhysiologybioRxivOct 26, 2023

Reliance on self-reports and estimated food composition data in nutrition research introduces significant bias that can only be addressed with biomarkers

J. I. Ottaviani, V. Sagi-Kiss, H. Schroeter, G. G. C. Kuhnle

The paper highlights how reliance on self-reported and estimated food data in nutrition research introduces significant bias, and argues for the use of biomarkers to improve accuracy.

DOI 10.7554/elife.92941.3

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