| Abstrakt: |
A new report from the Institute for Quality and Efficiency in Health Care in Cologne, Germany, explores the use of Bayesian random-effects meta-analysis with empirical heterogeneity priors in health technology assessment (HTA). The study suggests that weakly informative prior distributions can be beneficial in cases where only a few studies are included, which is common in HTA. The researchers constructed a database of relevant meta-analyses to derive empirical prior distributions for the heterogeneity parameter suitable for HTA. The findings recommend the use of these prior distributions in future meta-analyses in HTA settings. [Extracted from the article] |
