Bias in nutrition-health associations is not eliminated by excluding extreme reporters in empirical or simulation studies

• Main Authors: Yamamoto, Nao, Ejima, Keisuke, Zoh, Roger S., Brown, Andrew W.
• Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
• Format: Article
• Language: English
• Published: 2023
• Subjects: Social sciences::Sociology; Biomarkers; Diet
• Online Access: https://hdl.handle.net/10356/169241
• Institution: Nanyang Technological University

Self-reported nutrition intake (NI) data are prone to reporting bias that may induce bias in estimands in nutrition studies; however, they are used anyway due to high feasibility. We examined whether applying Goldberg cutoffs to remove 'implausible' self-reported NI could reliably reduce b...