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.

以往的文献调查表明，统计分析报告往往缺乏重要信息，导致缺乏透明度和再现性失败。编辑和作者一致认为应该鼓励报告指南。本综述提出了一套贝叶斯分析报告指南 (BARG)。BARG 涵盖了先前指南的特征，同时包括当代贝叶斯分析的许多附加细节以及解释。提供了应用 BARG 的广泛示例。BARG 应该对研究人员、作者、审稿人、编辑、教育工作者和学生有用。BARG 的利用、认可和推广可以提高贝叶斯分析的质量、透明度和可重复性。