Combining biomarker and food intake data

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Title: Combining biomarker and food intake data
Authors: Gormley, Isobel ClaireD'Angelo, SilviaBrennan, Lorraine
Permanent link: http://hdl.handle.net/10197/13247
Date: 15-Feb-2022
Online since: 2022-11-16T16:19:17Z
Abstract: Recent developments in biomarker discovery have demonstrated that combining biomarkers with self-reported intake data has the potential to improve estimation of food intake. Here, statistical methods for combining biomarker and self-reported food intake data are discussed. The calibration equations method is a widely applied method that corrects for measurement error in self-reported food intake data through the use of biomarker data. The method is outlined and illustrated through an example where citrus intake is estimated. In order to estimate stable calibration equations, a simulation-based framework is delineated which estimates the percentage of study subjects from whom biomarker data is required. The method of triads is frequently used to assess the validity of self-reported food intake data by combining it with biomarker data. The method is outlined and sensitivity to its underlying assumptions is illustrated through simulation studies.
Funding Details: European Research Council
Science Foundation Ireland
Type of material: Journal Article
Publisher: Wiley
Journal: Wiley StatsRef: Statistics Reference Online
Start page: 1
End page: 16
Copyright (published version): 2021 John Wiley & Sons
Keywords: BiomarkersCalibration methodCitrusMeasurement errorMethod of triadsProline betaineSelf-reported food intake data
DOI: 10.1002/9781118445112.stat08361
Language: en
Status of Item: Peer reviewed
ISBN: 9781118445112
This item is made available under a Creative Commons License: https://creativecommons.org/licenses/by/3.0/ie/
Appears in Collections:Conway Institute Research Collection
Mathematics and Statistics Research Collection
Institute of Food and Health Research Collection
Insight Research Collection
Agriculture and Food Science Research Collection

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