Quantifying, displaying and accounting for heterogeneity in the meta-analysis of RCTs using standard and generalised Q statistics

BACKGROUND: Clinical researchers have often preferred to use a fixed effects model for the primary interpretation of a meta-analysis. Heterogeneity is usually assessed via the well known Q and I(2) statistics, along with the random effects estimate they imply. In recent years, alternative methods fo...

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Detalles Bibliográficos
Autores principales: Bowden, Jack, Tierney, Jayne F, Copas, Andrew J, Burdett, Sarah
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3102034/
https://www.ncbi.nlm.nih.gov/pubmed/21473747
http://dx.doi.org/10.1186/1471-2288-11-41

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3102034/
https://www.ncbi.nlm.nih.gov/pubmed/21473747
http://dx.doi.org/10.1186/1471-2288-11-41

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