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Frameworks for estimating causal effects in observational settings: comparing confounder adjustment and instrumental variables

To estimate causal effects, analysts performing observational studies in health settings utilize several strategies to mitigate bias due to confounding by indication. There are two broad classes of approaches for these purposes: use of confounders and instrumental variables (IVs). Because such appro...

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Detalles Bibliográficos
Autores principales: Zawadzki, Roy S., Grill, Joshua D., Gillen, Daniel L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10201752/
https://www.ncbi.nlm.nih.gov/pubmed/37217854
http://dx.doi.org/10.1186/s12874-023-01936-2

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