Bayesian statistics is an approach to data analysis based on Bayes' theorem, where
available knowledge about parameters in a statistical model is updated with the information …

Objective To characterise the determinants, time course, and risks of acute myocardial
infarction associated with use of oral non-steroidal anti-inflammatory drugs (NSAIDs) …

Meta‐analyses are typically used to estimate the overall/mean of an outcome of interest.
However, inference about between‐study variability, which is typically modelled using a …

As Bayesian methods continue to grow in accessibility and popularity, more empirical
studies are turning to Bayesian methods to model small sample data. Bayesian methods do …

Network meta‐analysis enables the simultaneous synthesis of a network of clinical trials
comparing any number of treatments. Potential inconsistencies between estimates of …

Bayesian statistical methods are slowly cree** into all fields of science and are becoming
ever more popular in applied research. Although it is very attractive to use Bayesian …

The ever increasing number of alternative treatment options and the plethora of clinical trials
have put systematic reviews and meta‐analysis under a new perspective by emphasizing …

Network meta‐analysis (multiple treatments meta‐analysis, mixed treatment comparisons)
attempts to make the best use of a set of studies comparing more than two treatments …

With the characteristics of randomness, fluctuation, nonlinearity and uncertainty, wind speed
affects the stability of wind power system. In order to improve the safety and stability of wind …

Published evidence suggests that aspects of trial design lead to biased intervention effect
estimates, but findings from different studies are inconsistent. This study combined data from …