Does exclusion of extreme reporters of energy intake (the 'Goldberg cutoffs') reliably reduce or eliminate bias in nutrition studies? Analysis with illustrative associations of energy intake with health outcomes

This is a package of codes which were used in the paper "Does exclusion of extreme reporters of energy intake (the ‘Goldberg cutoffs’) reliably reduce or eliminate bias in nutrition studies? Analysis with illustrative associations of energy intake with health outcomes", published in The American Journal of Clinical Nutrition.

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PID https://www.doi.org/10.5281/zenodo.1488377
PID https://www.doi.org/10.1093/ajcn/nqz198
PID https://www.doi.org/10.5281/zenodo.1488378
URL https://figshare.com/articles/Does_exclusion_of_extreme_reporters_of_energy_intake_the_Goldberg_cutoffs_reliably_reduce_or_eliminate_bias_in_nutrition_studies_Analysis_with_illustrative_associations_of_energy_intake_with_health_outcomes/11445075
URL https://dx.doi.org/10.5281/zenodo.1488377
URL https://dx.doi.org/10.1093/ajcn/nqz198
URL https://dx.doi.org/10.5281/zenodo.1488378
URL http://dx.doi.org/10.5281/zenodo.1488378
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Access Right Open Access
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Author Ejima, Keisuke
Author Brown, Andrew W
Author Schoeller, Dale A
Author Heymsfield, Steven B
Author Nelson, Erik J
Author Allison, David B
Publishing

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Collected From Datacite; figshare
Hosted By Zenodo; figshare
Publication Date 2019-09-12
Publisher Zenodo
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Language Undetermined
Resource Type Dataset
keyword R
system:type dataset
Management Info
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Source https://science-innovation-policy.openaire.eu/search/dataset?datasetId=dedup_wf_001::30a835617a035baf508634f772863e18
Author jsonws_user
Last Updated 12 January 2021, 15:39 (CET)
Created 12 January 2021, 15:39 (CET)