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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| Auteurs principaux: | , , , , , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
Public Library of Science (PLoS)
2011
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/54b0c034152646c389878d8f4cb9b801 |
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