Extending the I-squared statistic to describe treatment effect heterogeneity in cluster, multi-centre randomized trials and individual patient data meta-analysis

Treatment effect heterogeneity is commonly investigated in meta-analyses to identify if treatment effects vary across studies. When conducting an aggregate level data meta-analysis it is common to describe the magnitude of any treatment effect heterogeneity using the I-squared statistic, which is an...

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Detalles Bibliográficos
Autores principales: Hemming, Karla, Hughes, James P, McKenzie, Joanne E, Forbes, Andrew B
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2020
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173367/
https://www.ncbi.nlm.nih.gov/pubmed/32955403
http://dx.doi.org/10.1177/0962280220948550

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8173367/
https://www.ncbi.nlm.nih.gov/pubmed/32955403
http://dx.doi.org/10.1177/0962280220948550

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