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Amplifying the Noise: The Dangers of Post Hoc Power Analyses

Small sample sizes decrease statistical power, which is a study’s ability to detect a treatment effect when there is one to be detected. A power threshold of 80% is commonly used, indicating that statistical significance would be expected four of five times if the treatment effect is large enough to...

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Detalhes bibliográficos
Publicado no:J Surg Res
Main Authors: Griffith, Kevin N., Feyman, Yevgeniy
Formato: Artigo
Idioma:Inglês
Publicado em: 2020
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8211362/
https://ncbi.nlm.nih.gov/pubmed/32843199
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.jss.2019.09.075
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