Bias in nutrition-health associations is not eliminated by excluding extreme reporters in empirical or simulation studies
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...
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Main Authors: | Yamamoto, Nao, Ejima, Keisuke, Zoh, Roger S., Brown, Andrew W. |
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Other Authors: | Lee Kong Chian School of Medicine (LKCMedicine) |
Format: | Article |
Language: | English |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/10356/169241 |
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Institution: | Nanyang Technological University |
Language: | English |
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