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. ...
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 ...
It gives a thorough pragmatic introduction to Bayesian methods, suggests guidelines for reporting Bayesian analysis, juxtaposes Bayesian and conventional approaches, reviews the literature on use of Bayesian methods for health-care interventions, provides many examples along with data and software to ...
Get Started with Bayesian Analysis Example 1: Initiation to Bayesian models Example 2: Confirmation of Bayesian skills Example 3: Become a Bayesian master Articles Credible Intervals (CI) Probability of Direction (pd) Region of Practical Equivalence (ROPE) ...
Get Started with Bayesian Analysis Example 1: Initiation to Bayesian models Example 2: Confirmation of Bayesian skills Example 3: Become a Bayesian master Articles Credible Intervals (CI) Probability of Direction (pd) Region of Practical Equivalence (ROPE) ...
To our knowledge, this NMA is the first comprehensive data analysis assessing the effects of different neurology education strategies. Several limitations need to be taken into consideration. The study does not include research on hybrid and other personalized teaching methods in neurology, such as ...
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...
Network confirmatory analysis Often, the reliability and replicability of parameter estimates in cross-sectional network analyses are not considered and are, at the least, questionable (e.g., [85,86,87,88]). For the current investigation, three steps were taken to ensure model stability: (1) ...
The reporting of this systematic review/meta-analysis followed the most updated PRISMA guidelines [39]. The protocol for this study was pre-registered on the OSF website, where the dataset is also available:https://osf.io/egp7d. The PRISMA checklist is included in Supplement 1. ...
Bayesian Networks (BNs) are probabilistic graphical models used to represent variables and their conditional dependencies, making them highly valuable in a wide range of fields, such as radiology, agriculture, neuroscience, construction management, medicine, and engineering systems, among many others. ...