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Random-effects meta-analysis models for pooling rare events data: a comparison between frequentist and bayesian methods
Abstract Background Standard random-effects meta-analysis models for rare events exhibit significant limitations, particularly when synthesizing studies with double-zero events. While methodological advances in both frequentist and Bayesian frameworks now offer robust alternatives that bypass contin...
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| Hlavní autoři: | , , , , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
BMC
2025-10-01
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| Edice: | BMC Medical Research Methodology |
| Témata: | |
| On-line přístup: | https://doi.org/10.1186/s12874-025-02664-5 |
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