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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Detalhes bibliográficos
Main Authors: Thorlund, Kristian, Imberger, Georgina, Walsh, Michael, Chu, Rong, Gluud, Christian, Wetterslev, Jørn, Guyatt, Gordon, Devereaux, Philip J., Thabane, Lehana
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2011
Assuntos:
Research Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC3196500/
https://ncbi.nlm.nih.gov/pubmed/22028777
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0025491
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