Common scientific and statistical errors in obesity research-Reference-Cited by-同舟云学术

Common scientific and statistical errors in obesity research

Published:2016-03-30 Issue:4 Volume:24 Page:781-790
ISSN:1930-7381
Container-title:Obesity
language:en
Short-container-title:Obesity

Author:

George Brandon J.¹,Beasley T. Mark²,Brown Andrew W.¹³,Dawson John⁴,Dimova Rositsa⁵,Divers Jasmin⁶,Goldsby TaShauna U.¹³,Heo Moonseong⁷,Kaiser Kathryn A.¹³,Keith Scott W.⁸,Kim Mimi Y.⁷,Li Peng¹²,Mehta Tapan³⁹,Oakes J. Michael¹⁰,Skinner Asheley¹¹,Stuart Elizabeth¹²,Allison David B.¹²³

Affiliation:

1. Office of Energetics; University of Alabama at Birmingham; Birmingham Alabama USA

2. Department of Biostatistics; University of Alabama at Birmingham; Birmingham Alabama USA

3. Nutrition Obesity Research Center; University of Alabama at Birmingham; Birmingham Alabama USA

4. Department of Nutritional Sciences; Texas Tech University; Lubbock Texas USA

5. Department of Biostatistics; University at Buffalo; Buffalo New York USA

6. Department of Biostatistical Sciences; Wake Forest School of Medicine; Winston-Salem North Carolina USA

7. Department of Epidemiology & Population Health; Albert Einstein College of Medicine; Bronx New York USA

8. Division of Biostatistics, Department of Pharmacology and Experimental Therapeutics; Thomas Jefferson University; Philadelphia Pennsylvania USA

9. Department of Health Services Administration; University of Alabama at Birmingham; Birmingham Alabama USA

10. Department of Epidemiology & Community Health; University of Minnesota; Minneapolis Minnesota USA

11. Department of Health Policy and Management; University of North Carolina; Chapel Hill North Carolina USA

12. Department of Mental Health; Johns Hopkins Bloomberg School of Public Health; Baltimore Maryland USA.

Publisher

Wiley

Subject

Nutrition and Dietetics,Endocrinology,Endocrinology, Diabetes and Metabolism,Medicine (miscellaneous)

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/oby.21449/fullpdf

Reference111 articles.

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3. Best (but often forgotten) practices: designing, analyzing, and reporting cluster randomized controlled trials;Brown;Am J Clin Nutr,2015

4. An unjustified conclusion from self-report-based estimates of energy intake;Levitsky;Am J Med,2014

5. Energy balance measurement: when something is not better than nothing;Dhurandhar;Int J Obes,2014

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