The Number of Patients and Events Required to Limit the Risk of Overestimation of Intervention Effects in Meta-Analysis—A Simulation Study

BACKGROUND: Meta-analyses including a limited number of patients and events are prone to yield overestimated intervention effect estimates. While many assume bias is the cause of overestimation, theoretical considerations suggest that random error may be an equal or more frequent cause. The independ...

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Detalles Bibliográficos
Autores principales: Thorlund, Kristian, Imberger, Georgina, Walsh, Michael, Chu, Rong, Gluud, Christian, Wetterslev, Jørn, Guyatt, Gordon, Devereaux, Philip J., Thabane, Lehana
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3196500/
https://www.ncbi.nlm.nih.gov/pubmed/22028777
http://dx.doi.org/10.1371/journal.pone.0025491

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3196500/
https://www.ncbi.nlm.nih.gov/pubmed/22028777
http://dx.doi.org/10.1371/journal.pone.0025491

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