Quantifying heterogeneity in individual participant data meta-analysis with binary outcomes

BACKGROUND: In meta-analyses (MA), effect estimates that are pooled together will often be heterogeneous. Determining how substantial heterogeneity is is an important aspect of MA. METHOD: We consider how best to quantify heterogeneity in the context of individual participant data meta-analysis (IPD...

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Detalles Bibliográficos
Autores principales: Chen, Bo, Benedetti, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Methodology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718085/
https://www.ncbi.nlm.nih.gov/pubmed/29208048
http://dx.doi.org/10.1186/s13643-017-0630-4

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5718085/
https://www.ncbi.nlm.nih.gov/pubmed/29208048
http://dx.doi.org/10.1186/s13643-017-0630-4

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