Comparison of Bayesian methods for extrapolation of treatment effects: a large scale simulation study
处理效应外推的贝叶斯方法比较:大规模模拟研究
Extrapolating treatment effects from related studies is a promising strategy for designing and analyzing clinical trials in situations where achieving an adequate sample size is challenging. Bayesian methods are well-suited for this purpose, as they enable the synthesis of prior information through the use of prior distributions. While the operating characteristics of Bayesian approaches for borrowing data from control arms have been extensively studied, methods that borrow…