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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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Foilsithe in: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
Formáid: Artigo
Teanga:Inglês
Foilsithe: Oxford University Press 2020
Ábhair:
Rochtain Ar Líne: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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