Location: Children's Nutrition Research CenterTitle: Reply to Verhoef et al
|SORKIN, JOHN - University Of Maryland School Of Medicine|
|MANARY, MARK - Washington University|
|SMEETS, PAUL - Wageningen University And Research Center|
|MACFARLANE, AMANDA - Health Canada|
|ASTRUP, ARNE - Novo Nordisk, Inc|
|PRIGEON, RONALD - Consultant|
|HOGANS, BETH - Johns Hopkins University School Of Medicine|
|ODLE, JACK - North Carolina State University|
|DAVIS, TERESA - Children'S Nutrition Research Center (CNRC)|
|TUCKER, KATHERINE - University Of Massachusetts|
|DUGGAN, CHRISTOPHER - Boston Children'S Hospital|
|TOBIAS, DEIDRE - Brigham & Women'S Hospital|
Submitted to: The American Journal of Clinical Nutrition
Publication Type: Other
Publication Acceptance Date: 6/10/2021
Publication Date: 2/9/2022
Citation: Sorkin, J.D., Manary, M., Smeets, P.A., Macfarlane, A.J., Astrup, A., Prigeon, R.L., Hogans, B.B., Odle, J., Davis, T.A., Tucker, K.L., Duggan, C.P., Tobias, D.K. 2022. Reply to Verhoef et al. American Journal of Clinical Nutrition. 115(2):598-600. https://doi.org/10.1093/ajcn/nqab371.
Interpretive Summary: This is a letter to the editor about some expert statistical advice given for analyzing nutrition data. Scientific conclusions should not be based only on whether a specific threshold is reached but rather all details should be considered and provided. This article can be used to discuss how scientific methods can be used to increase transparency and reproducibility in the conduct and analysis of data in nutrition research.
Technical Abstract: We wrote our paper to address misconceptions about the P value and to promote reproducibility of study findings. Our goal was to promote proper use and interpretation of P values and to increase authors' and readers' understanding of the strengths and weaknesses of null hypothesis testing. As stated in our paper, we agree with Verhoef et al.'s statement that "P values should not be banned." P values are a useful component of hypothesis-driven inquiry, but like any research tool, must be used with knowledge and interpreted correctly. Proper use of P values should be part of a larger effort to increase the reproducibility of study results.