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Statistically significant results from low-power analyses: A comedy of errors
13 references·0 citing·52 second hop
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References

  • 2013Power failure: why small sample size undermines the reliability of neuroscience7,634 cited
  • 2014Increasing value and reducing waste in research design, conduct, and analysis1,597 cited
  • 2014Beyond Power Calculations1,341 cited
  • 2010Stopping Randomized Trials Early for Benefit and Estimation of Treatment Effects Systematic Review and Meta-regression Analysis613 cited
  • 2012Empirical Evaluation of Very Large Treatment Effects of Medical Interventions257 cited
  • 2017Low statistical power in biomedical science: a review of three human research domains206 cited
  • 2013Citation bias favoring statistically significant studies was present in medical research193 cited
  • 2015Authors report lack of time as main reason for unpublished research presented at biomedical conferences: a systematic review175 cited
  • 2007Systematic reviewers neglect bias that results from trials stopped early for benefit63 cited
  • 2019On reporting and interpreting statistical significance and p values in medical research59 cited
  • 2017The distribution of P -values in medical research articles suggested selective reporting associated with statistical significance49 cited
  • 2021The statistical properties of RCTs and a proposal for shrinkage33 cited
  • 2014Unpublishable research: examining and organizing the ‘file drawer’12 cited

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