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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Details
; Wieten, Sarah E. 1 ; Smith, Emily R. 2 ; Nunan, David 3 1 Stanford University, Meta-Research Innovation Center at Stanford (METRICS), Stanford, USA (GRID:grid.168010.e) (ISNI:0000000419368956)
2 George Washington University, Department of Global Health, Milken Institute School of Public Health, Washington, USA (GRID:grid.253615.6) (ISNI:0000 0004 1936 9510)
3 University of Oxford, Centre for Evidence Based Medicine, Oxford, UK (GRID:grid.4991.5) (ISNI:0000 0004 1936 8948)




