PUMP : Estimating Power, Minimum Detectable Effect Size, and Sample Size When Adjusting for Multiple Outcomes in Multi-Level Experiments

For randomized controlled trials (RCTs) with a single intervention's impact being measured on multiple outcomes, researchers often apply a multiple testing procedure (such as Bonferroni or Benjamini-Hochberg) to adjust p values. Such an adjustment reduces the likelihood of spurious findings, bu...

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Veröffentlicht in:Journal of statistical software 2024-03, Vol.108 (6)
Hauptverfasser: Hunter, Kristen B., Miratrix, Luke, Porter, Kristin
Format: Artikel
Sprache:eng
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