Random-effects meta-analysis models for pooling rare events data: a comparison between frequentist and bayesian methods
In summary, the beta-binomial model proposed by Kuss is recommended for rare events meta-analyses, and the Bayesian model is a promising method for pooling rare events data.
Authors
- Fan Mei (ORCID: https://orcid.org/0000-0002-3707-8800)
- Minghong Yao (ORCID: https://orcid.org/0000-0001-8151-6014)
- Ke Deng (ORCID: https://orcid.org/0000-0002-6454-9129)
- Yuning Wang (ORCID: https://orcid.org/0000-0001-7386-1897)
- Xin Sun (ORCID: https://orcid.org/0000-0002-6554-7088)
- Kang Zou (ORCID: https://orcid.org/0000-0002-4959-1951)
- Ling Li (ORCID: https://orcid.org/0009-0009-6804-8143)
Institutions
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- BMC Medical Research Methodology
- Published
- 2025-10-02
- DOI
- https://doi.org/10.1186/s12874-025-02664-5
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 0.00