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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Bibliografski detalji
Izdano u:Int J Epidemiol
Glavni autori: 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
Format: Artigo
Jezik:Inglês
Izdano: Oxford University Press 2020
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Methods
Online pristup: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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