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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 |
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| Main Authors: | , , , , , , , , , , , , |
| Formáid: | Artigo |
| Teanga: | Inglês |
| Foilsithe: |
Oxford University Press
2020
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| 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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