Empirical Comparisons of 12 Meta-analysis Methods for Synthesizing Proportions of Binary Outcomes

BACKGROUND: Meta-analysis is increasingly used to synthesize proportions (e.g., disease prevalence). It can be implemented with widely used two-step methods or one-step methods, such as generalized linear mixed models (GLMMs). Existing simulation studies have shown that GLMMs outperform the two-step...

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Detalles Bibliográficos
Autores principales: Lin, Lifeng, Xu, Chang, Chu, Haitao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Original Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432281/
https://www.ncbi.nlm.nih.gov/pubmed/34505983
http://dx.doi.org/10.1007/s11606-021-07098-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8432281/
https://www.ncbi.nlm.nih.gov/pubmed/34505983
http://dx.doi.org/10.1007/s11606-021-07098-5

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