2023
DOI: 10.1002/jrsm.1685
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Bayesian random‐effects meta‐analysis with empirical heterogeneity priors for application in health technology assessment with very few studies

Jona Lilienthal,
Sibylle Sturtz,
Christoph Schürmann
et al.

Abstract: In Bayesian random‐effects meta‐analysis, the use of weakly informative prior distributions is of particular benefit in cases where only a few studies are included, a situation often encountered in health technology assessment (HTA). Suggestions for empirical prior distributions are available in the literature but it is unknown whether these are adequate in the context of HTA. Therefore, a database of all relevant meta‐analyses conducted by the Institute for Quality and Efficiency in Health Care (IQWiG, German… Show more

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