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Ten common statistical mistakes to watch out for when writing or reviewing a manuscript

Inspired by broader efforts to make the conclusions of scientific research more robust, we have compiled a list of some of the most common statistical mistakes that appear in the scientific literature. The mistakes have their origins in ineffective experimental designs, inappropriate analyses and/or...

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Bibliografische gegevens
Gepubliceerd in:eLife
Hoofdauteurs: Makin, Tamar R, Orban de Xivry, Jean-Jacques
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: eLife Sciences Publications, Ltd 2019
Onderwerpen:
Online toegang:https://ncbi.nlm.nih.gov/pmc/articles/PMC6785265/
https://ncbi.nlm.nih.gov/pubmed/31596231
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.48175
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