Bayesian Analysis Reporting Guidelines

Nat Hum Behav. 2021 Oct;5(10):1282-1291. doi: 10.1038/s41562-021-01177-7. Epub 2021 Aug 16.


Previous surveys of the literature have shown that reports of statistical analyses often lack important information, causing lack of transparency and failure of reproducibility. Editors and authors agree that guidelines for reporting should be encouraged. This Review presents a set of Bayesian analysis reporting guidelines (BARG). The BARG encompass the features of previous guidelines, while including many additional details for contemporary Bayesian analyses, with explanations. An extensive example of applying the BARG is presented. The BARG should be useful to researchers, authors, reviewers, editors, educators and students. Utilization, endorsement and promotion of the BARG may improve the quality, transparency and reproducibility of Bayesian analyses.

Publication types

  • Review

MeSH terms

  • Bayes Theorem*
  • Guidelines as Topic
  • Humans
  • Reproducibility of Results
  • Research Design / standards
  • Research Design / statistics & numerical data