2021
DOI: 10.1007/s11136-021-03020-y
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Power(ful) myths: misconceptions regarding sample size in quality of life research

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Cited by 3 publications
(5 citation statements)
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“…Reports, therefore, advocated using core outcome sets 27,28 . When planning a study, the statistical power to prove an association is essential since inadequate or absent sample size planning can lead to sample sizes that are, at best, inefficient and, at worst, ethically questionable 29,30 …”
Section: Resultsmentioning
confidence: 99%
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“…Reports, therefore, advocated using core outcome sets 27,28 . When planning a study, the statistical power to prove an association is essential since inadequate or absent sample size planning can lead to sample sizes that are, at best, inefficient and, at worst, ethically questionable 29,30 …”
Section: Resultsmentioning
confidence: 99%
“…This has the potential to identify associations that individual studies may not have been capable of detecting, leading to a significant enhancement in the quality of research. 29 To minimize negligible research waste, some authors have recommended systematically searching the literature before starting a research project. 47 Managing the increasing publication volume 1 indeed requires meta-analyses, which can provide a quicker and more comprehensive overview of the results.…”
Section: Discussionmentioning
confidence: 99%
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“…The third paper [19] addresses the importance of considering adequate sample size during study design to ensure research resources are utilized in an ethical manner and maximize impact and replicability. Common misconceptions related to sample size planning specific to (HR)QL/PRO studies and non-technical corrections to these misconceptions are discussed, including a sample size reporting checklist, to help researchers have a more nuanced understanding of sample size planning and items to consider during (HR) QL/PRO study design and reporting.…”
Section: The Special Sectionmentioning
confidence: 99%