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Rare events meta-analysis using the Bayesian beta-binomial model
Katrin Jansen1, Heinz Holling1
1Department of Psychology, University of Münster, Münster, Germany.
Research Synthesis Methods
|August 22, 2023
Summary
The Bayesian beta-binomial model improves meta-analyses of rare events, especially with sparse data. Using weakly informative priors for the effect parameter enhances accuracy and reliability in these complex statistical analyses.
Area of Science:
- Biostatistics
- Statistical Modeling
Background:
- Meta-analyses of rare events pose challenges for reliable pooled effect estimation, particularly with few studies.
- The beta-binomial model shows promise in frequentist frameworks for rare event meta-analysis.
Conclusions:
- The Bayesian beta-binomial model is a viable approach for rare event meta-analysis, with careful prior selection being crucial.
- Prioritizing weakly informative priors for the effect parameter enhances model performance, even with extremely sparse data.
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