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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Detalhes bibliográficos
Publicado no:Int J Epidemiol
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Oxford University Press 2020
Assuntos:
Methods
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8128477/
https://ncbi.nlm.nih.gov/pubmed/33330936
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ije/dyaa213
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