Ten common statistical mistakes to watch out for when writing or reviewing a manuscript.
Level V
Where this comes from
- Record sourced from PubMed, PMID 31596231.
- Also identified by DOI 10.7554/eLife.48175 and PMC identifier 6785265.
- Licence recorded as CC BY.
- The licence permits redistribution, so the abstract is shown in full and the full text is available from the publisher.
Abstract
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 flawed reasoning. We provide advice on how authors, reviewers and readers can identify and resolve these mistakes and, we hope, avoid them in the future.
Medical subject headings
- Manuscripts, Medical as Topic
- Statistics as Topic