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  3. Rare Events Meta-analysis Using The Bayesian Beta-binomial Model.
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  3. Rare Events Meta-analysis Using The Bayesian Beta-binomial Model.

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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

View abstract on PubMed

Summary
This summary is machine-generated.

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.

Keywords:
Bayesbeta-binomial modelrandom-effects meta-analysisrare events

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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.