Literature DB >> 18375226

Publishing nutrition research: a review of sampling, sample size, statistical analysis, and other key elements of manuscript preparation, Part 2.

Carol J Boushey1, Jeffrey Harris, Barbara Bruemmer, Sujata L Archer.   

Abstract

Members of the Board of Editors recognize the importance of providing a resource for researchers to insure quality and accuracy of reporting in the Journal. This second monograph of a periodic series focuses on study sample selection, sample size, and common statistical procedures using parametric methods, and the presentation of statistical methods and results. Attention to sample selection and sample size is critical to avoid study bias. When outcome variables adhere to a normal distribution, then parametric procedures can be used for statistical inference. Documentation that clearly outlines the steps used in the research process will advance the science of evidence-based practice in nutrition and dietetics. Real examples from problem sets and published literature are provided, as well as reference to books and online resources.

Mesh:

Year:  2008        PMID: 18375226     DOI: 10.1016/j.jada.2008.01.002

Source DB:  PubMed          Journal:  J Am Diet Assoc        ISSN: 0002-8223


  4 in total

1.  Statistical analysis of continuous outcomes from parallel-arm randomized controlled trials in nutrition-a tutorial.

Authors:  Christian Ritz
Journal:  Eur J Clin Nutr       Date:  2020-09-16       Impact factor: 4.016

2.  Effect of a Physical Activity Consultation in the Management of Adolescent Overweight (the PAC-MAnO project): study rationale, design and methods.

Authors:  Antonio Videira-Silva; Luís Sardinha; Helena Fonseca
Journal:  BMJ Paediatr Open       Date:  2018-07-15

3.  Best Practices for Conducting Observational Research to Assess the Relation between Nutrition and Bone: An International Working Group Summary.

Authors:  Regan L Bailey; Shivani Sahni; Patricia Chocano-Bedoya; Robin M Daly; Ailsa A Welch; Heike Bischoff-Ferrari; Connie M Weaver
Journal:  Adv Nutr       Date:  2019-05-01       Impact factor: 8.701

Review 4.  Statistical and Machine-Learning Analyses in Nutritional Genomics Studies.

Authors:  Leila Khorraminezhad; Mickael Leclercq; Arnaud Droit; Jean-François Bilodeau; Iwona Rudkowska
Journal:  Nutrients       Date:  2020-10-14       Impact factor: 5.717

  4 in total

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