Recommendations on the use and nonuse of the p value in biomedical research

Madeline McCarren¹, Christian Hampp², Tobias Gerhard^{3

4}, Shekhar Mehta²

Affiliations

¹ Department of Veterans Affairs, PBM (10P4P), Hines, IL. madeline.mccarren@va.gov.
² Food and Drug Administration, Silver Spring, MD.
³ Department of Pharmacy Practice and Administration, Ernest Mario School of Pharmacy, Rutgers University, New Brunswick, NJ.
⁴ Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ.

Comment

Madeline McCarren et al. Am J Health Syst Pharm. 2017.

. 2017 Aug 15;74(16):1262-1266.

doi: 10.2146/ajhp160443.

Madeline McCarren¹, Christian Hampp², Tobias Gerhard^{3

4}, Shekhar Mehta²

¹ Department of Veterans Affairs, PBM (10P4P), Hines, IL. madeline.mccarren@va.gov.
² Food and Drug Administration, Silver Spring, MD.
³ Department of Pharmacy Practice and Administration, Ernest Mario School of Pharmacy, Rutgers University, New Brunswick, NJ.
⁴ Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, NJ.

No abstract available

Keywords: bias; biomedical research; confidence interval; hypothesis testing; p value; statistical significance.

Comment on

Statistical tests, P values, confidence intervals, and power: a guide to misinterpretations.
Greenland S, Senn SJ, Rothman KJ, Carlin JB, Poole C, Goodman SN, Altman DG. Greenland S, et al. Eur J Epidemiol. 2016 Apr;31(4):337-50. doi: 10.1007/s10654-016-0149-3. Epub 2016 May 21. Eur J Epidemiol. 2016. PMID: 27209009 Free PMC article.