Use of directed acyclic graphs (DAGs) to identify confounders in applied health research: review and recommendations

BACKGROUND: Directed acyclic graphs (DAGs) are an increasingly popular approach for identifying confounding variables that require conditioning when estimating causal effects. This review examined the use of DAGs in applied health research to inform recommendations for improving their transparency a...

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Detalles Bibliográficos
Autores principales: Tennant, Peter W G, Murray, Eleanor J, Arnold, Kellyn F, Berrie, Laurie, Fox, Matthew P, Gadd, Sarah C, Harrison, Wendy J, Keeble, Claire, Ranker, Lynsie R, Textor, Johannes, Tomova, Georgia D, Gilthorpe, Mark S, Ellison, George T H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128477/
https://www.ncbi.nlm.nih.gov/pubmed/33330936
http://dx.doi.org/10.1093/ije/dyaa213

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8128477/
https://www.ncbi.nlm.nih.gov/pubmed/33330936
http://dx.doi.org/10.1093/ije/dyaa213

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