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Much ado about something: a response to "COVID-19: underpowered randomised trials, or no randomised trials?"
Haber, Noah A; Wieten, Sarah E; Smith, Emily R; Nunan, David.
  • Haber NA; Meta-Research Innovation Center at Stanford (METRICS), Stanford University, 1265 Welch Rd Palo Alto, Stanford, CA, 94305, USA. noahhaber@stanford.edu.
  • Wieten SE; Meta-Research Innovation Center at Stanford (METRICS), Stanford University, 1265 Welch Rd Palo Alto, Stanford, CA, 94305, USA.
  • Smith ER; Department of Global Health, Milken Institute School of Public Health, George Washington University, 950 New Hampshire Avenue, Washington, DC, 20052, USA.
  • Nunan D; Centre for Evidence Based Medicine, University of Oxford, Radcliffe Primary Care Building, Radcliffe Observatory Quarter, Woodstock Road, Oxford, OX2 6GG, UK.
Trials ; 22(1): 780, 2021 Nov 07.
Article in English | MEDLINE | ID: covidwho-1582024
ABSTRACT
Non-pharmaceutical interventions (NPI) for infectious diseases such as COVID-19 are particularly challenging given the complexities of what is both practical and ethical to randomize. We are often faced with the difficult decision between having weak trials or not having a trial at all. In a recent article, Dr. Atle Fretheim argues that statistically underpowered studies are still valuable, particularly in conjunction with other similar studies in meta-analysis in the context of the DANMASK-19 trial, asking "Surely, some trial evidence must be better than no trial evidence?" However, informative trials are not always feasible, and feasible trials are not always informative. In some cases, even a well-conducted but weakly designed and/or underpowered trial such as DANMASK-19 may be uninformative or worse, both individually and in a body of literature. Meta-analysis, for example, can only resolve issues of statistical power if there is a reasonable expectation of compatible well-designed trials. Uninformative designs may also invite misinformation. Here, we make the case that-when considering informativeness, ethics, and opportunity costs in addition to statistical power-"nothing" is often the better choice.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Randomized Controlled Trials as Topic / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials / Reviews Limits: Humans Language: English Journal: Trials Journal subject: Medicine / Therapeutics Year: 2021 Document Type: Article Affiliation country: S13063-021-05755-Y

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Randomized Controlled Trials as Topic / COVID-19 Type of study: Experimental Studies / Prognostic study / Randomized controlled trials / Reviews Limits: Humans Language: English Journal: Trials Journal subject: Medicine / Therapeutics Year: 2021 Document Type: Article Affiliation country: S13063-021-05755-Y