Unscientific beliefs about scientific topics in nutrition

Advances in Nutrition

Volumn 5, Issue 5, 2014, Pages 563-565

  Brown, Andrew W ^a   Ioannidis, John P A ^b   Cope, Mark B ^c   Bier, Dennis M ^d   Allison, David B ^a  

^a UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

^b STANFORD UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c DUPONT COMPANY   (United States)

^d BAYLOR COLLEGE OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ATTITUDE TO HEALTH; EDUCATION; HUMAN; METHODOLOGY; NUTRITIONAL SCIENCE; NUTRITIONAL STATUS; ORGANIZATION; STANDARDS; STATISTICAL BIAS;

BIAS (EPIDEMIOLOGY); CONGRESSES AS TOPIC; HEALTH KNOWLEDGE, ATTITUDES, PRACTICE; HUMANS; NUTRITIONAL SCIENCES; NUTRITIONAL STATUS; RESEARCH DESIGN;

EID: 84910142942     PISSN: 21618313     EISSN: 21565376     Source Type: Journal    
DOI: 10.3945/an.114.006577     Document Type: Conference Paper

References (6)

1. Casazza K, Fontaine KR, Astrup A, Birch LL, Brown AW, Bohan Brown MM, Durant N, Dutton G, Foster EM, Heymsfield SB, et al. Myths, presumptions, and facts about obesity. N Engl J Med 2013;368:446-54
2. Schoenfeld JD, Ioannidis JP. Is everything we eat associated with cancer? A systematic cookbook review. Am J Clin Nutr 2013;97:127-34
3. Brown AW, Bohan Brown MM, Allison DB. Belief beyond the evidence: using the proposed effect of breakfast on obesity to show 2 practices that distort scientific evidence. Am J Clin Nutr 2013;98:1298-308
4. Cope MB, Allison DB. White hat bias: examples of its presence in obesity research and a call for renewed commitment to faithfulness in research reporting. Int J Obes (Lond) 2010;34:84-8
5. Gadbury GL, Allison DB. Inappropriate fiddling with statistical analyses to obtain a desirable p-value: tests to detect its presence in published literature. PLoS One 2012;7:e46363
6. EQUATOR Network [database on the Internet]. Oxford, UK: EQUATOR Network. [cited 2014 June 22]. Available from: www.equator-network. org.