White hat bias: examples of its presence in obesity research and a call for renewed commitment to faithfulness in research reporting. Cope, M. B. & Allison, D. B. International Journal of Obesity, 34(1):84–88, January, 2010. Number: 1 Publisher: Nature Publishing Group
White hat bias: examples of its presence in obesity research and a call for renewed commitment to faithfulness in research reporting [link]Paper  doi  abstract   bibtex   
‘White hat bias’ (WHB) (bias leading to distortion of information in the service of what may be perceived to be righteous ends) is documented through quantitative data and anecdotal evidence from the research record regarding the postulated predisposing and protective effects of nutritively sweetened beverages and breastfeeding, respectively, on obesity. Evidence of an apparent WHB is found in a degree sufficient to mislead readers. WHB bias may be conjectured to be fuelled by feelings of righteous zeal, indignation toward certain aspects of industry or other factors. Readers should beware of WHB, and our field should seek methods to minimize it.
@article{cope_white_2010,
	title = {White hat bias: examples of its presence in obesity research and a call for renewed commitment to faithfulness in research reporting},
	volume = {34},
	copyright = {2010 Macmillan Publishers Limited},
	issn = {1476-5497},
	shorttitle = {White hat bias},
	url = {https://www.nature.com/articles/ijo2009239},
	doi = {10.1038/ijo.2009.239},
	abstract = {‘White hat bias’ (WHB) (bias leading to distortion of information in the service of what may be perceived to be righteous ends) is documented through quantitative data and anecdotal evidence from the research record regarding the postulated predisposing and protective effects of nutritively sweetened beverages and breastfeeding, respectively, on obesity. Evidence of an apparent WHB is found in a degree sufficient to mislead readers. WHB bias may be conjectured to be fuelled by feelings of righteous zeal, indignation toward certain aspects of industry or other factors. Readers should beware of WHB, and our field should seek methods to minimize it.},
	language = {en},
	number = {1},
	urldate = {2023-08-19},
	journal = {International Journal of Obesity},
	author = {Cope, M. B. and Allison, D. B.},
	month = jan,
	year = {2010},
	note = {Number: 1
Publisher: Nature Publishing Group},
	keywords = {Epidemiology, Health Promotion and Disease Prevention, Internal Medicine, Medicine/Public Health, Metabolic Diseases, Public Health, general},
	pages = {84--88},
}

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