Bayesian Analysis Reporting Guidelines

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. The Review presents a comprehensive set of Bayesian analysis reporting guidelines (BARG), incorporating features of previous guidelines and extending these with many additional details for contemporary Bayesian analyses. It is accompanied by an extensive example of applying the BARG.

Automated summary

Previous surveys have revealed a lack of important information in reports of statistical analyses, leading to issues of transparency and reproducibility. The proposal of Bayesian analysis reporting guidelines (BARG) aims to address these issues and improve the quality of research.