Abstract

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. In this article, 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.

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.