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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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| Pubblicato in: | eLife |
|---|---|
| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
eLife Sciences Publications, Ltd
2019
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| Soggetti: | |
| Accesso online: | 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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