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,
Here we offer specific guidelines for four different stages of Bayesian statistical reasoning in a research setting: planning the analysis, executing the analysis, interpreting the results, and reporting the results. The guidelines for each stage are illustrated with a running example. Although the ...
Bayesian Analysis Reporting Guidelines John K. Kruschke Nature Human Behaviour Open Access 16 August 2021 Access options Access Nature and 54 other Nature Portfolio journals Get Nature+, our best-value online-access subscription 24,99 € / 30 days cancel any time Learn more Subscribe to...
Kruschke, J. K., & Liddell, T. M. (2018). The bayesian new statistics: Hypothesis testing, estimation, meta-analysis, and power analysis from a bayesian perspective.Psychonomic Bulletin & Review,25(1), 178–206. Wagenmakers, E.-J., Lodewyckx, T., Kuriyal, H., & Grasman, R. (201...
Kruschke, J. K. 2021. “Bayesian Analysis Reporting Guidelines.”Nature Human Behaviour5 (10): 1282–1291. https://doi.org/10.1038/s41562-021-01177-7. PubMedWeb of Science ®Google Scholar Kuhn, W. 2001. “Ontologies in Support of Activities in Geographical Space.”International Journal of...
This Bayesian network meta-analysis was conducted according to the PRISMA extension statement for reporting of systematic reviews incorporating network meta-analyses of healthcare interventions [12]. A guide protocol was preliminary drafted: P (population): Chronic low back pain; I (intervention): Ac...
Bayesian inference can update the shape of the learned posterior distributions for model parameters whenever new data observations arrive, providing enough flexibility for integrative analysis and model extension [2]. Although using more data types means defining more model parameters, Bayesian inference au...
SDage = 4.19). We did not conduct separate analyses or comparisons depending on self-reported sex because there was too little data on participants reporting to be male, and because the preregistered analysis plan did not include such analyses. In line with our sampling plan, the two gro...
A Bayesian network meta-analysis was performed to assess postoperative pain management, with subgroup analyses and meta-regression conducted to examine key factors influencing outcomes, such as the risk of bias, continuous catheter analgesia, and patient-controlled analgesia (PCA). Results The results ...
This article explains the foundational concepts of Bayesian data analysis using virtually no mathematical notation. Bayesian ideas already match your intui