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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2023
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| 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 |