An integrative shrinkage estimator for random-effects meta-analysis of rare binary events

Meta-analysis has been a powerful tool for inferring the treatment effect between two experimental conditions from multiple studies of rare binary events. Recently, under a random-effects (RE) model, Bhaumik et al. developed a simple average (SA) estimator and showed that with the continuity correct...

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Detalles Bibliográficos
Autores principales: Li, Lie, Bai, Ou, Wang, Xinlei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6046515/
https://www.ncbi.nlm.nih.gov/pubmed/30023448
http://dx.doi.org/10.1016/j.conctc.2018.04.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6046515/
https://www.ncbi.nlm.nih.gov/pubmed/30023448
http://dx.doi.org/10.1016/j.conctc.2018.04.004

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