The number of patients and events required to limit the risk of overestimation of intervention effects in meta-analysis--a simulation study.

The number of patients and events required to limit the risk of overestimation of intervention effects in meta-analysis--a simulation study.

<h4>Background</h4>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...

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Bibliographic Details
Main Authors: Kristian Thorlund, Georgina Imberger, Michael Walsh, Rong Chu, Christian Gluud, Jørn Wetterslev, Gordon Guyatt, Philip J Devereaux, Lehana Thabane
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2011-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22028777/pdf/?tool=EBI

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https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/22028777/pdf/?tool=EBI

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