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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Bibliographic Details
Main Authors: Tamar R Makin, Jean-Jacques Orban de Xivry
Format: Article
Language:English
Published: eLife Sciences Publications Ltd 2019-10-01
Series:eLife
Subjects:
Online Access:https://elifesciences.org/articles/48175