1997
DOI: 10.1016/s0140-6736(97)02290-3
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Why “underpowered” trials are not necessarily unethical

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Cited by 90 publications
(68 citation statements)
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“…Thus, researchers are strongly recommended to ensure a sufficient power if a treatment is to be compared to an established treatment, or they should at least include an additional waiting list or TAU condition in order to be able to demonstrate efficacy. However, the existing underpowered RCTs are not necessarily useless or unethical [149,150]. If they are included in a meta-analysis, the statistical power will increase beyond that of the individual study, with the power depending not only on the number of studies and patients but also on the degree of heterogeneity between studies [151].…”
Section: Discussionmentioning
confidence: 99%
“…Thus, researchers are strongly recommended to ensure a sufficient power if a treatment is to be compared to an established treatment, or they should at least include an additional waiting list or TAU condition in order to be able to demonstrate efficacy. However, the existing underpowered RCTs are not necessarily useless or unethical [149,150]. If they are included in a meta-analysis, the statistical power will increase beyond that of the individual study, with the power depending not only on the number of studies and patients but also on the degree of heterogeneity between studies [151].…”
Section: Discussionmentioning
confidence: 99%
“…Clinical trialists and 'statisticians have for a long time argued that this [approach] is inappropriate and that trials should be used to estimate treatment effects and not to test hypotheses' (p. 806). 5 This might go against everything some have been taught. However, the push away from P-values and hypothesis testing is not new, and journals are increasingly trying to encourage researchers and readers to focus on estimates of treatment effects 6 (the uncertainty of those estimates can be quantified with confidence intervals).…”
mentioning
confidence: 99%
“…It seems likely that either one or more of the findings represent type I error or, less parsimoniously, that there are two or more susceptibility loci for bipolar disorder on chromosome 18. Although it is very important to interpret negative studies within the context of their power to detect an effect, it is vital that both positive and negative studies are made available to the research community to reduce the effect of publication bias on the interpretation of the world literature [Edwards et al, 1997]. Ultimately, it is almost certain to be necessary to undertake combined analysis of multiple large data sets to confirm or refute the existence of a bipolar susceptibility gene in this region.…”
Section: Discussionmentioning
confidence: 99%