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Causal Diagrams: Pitfalls and Tips
Graphical models are useful tools in causal inference, and causal directed acyclic graphs (DAGs) are used extensively to determine the variables for which it is sufficient to control for confounding to estimate causal effects. We discuss the following ten pitfalls and tips that are easily overlooked...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Japan Epidemiological Association
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7064555/ https://www.ncbi.nlm.nih.gov/pubmed/32009103 http://dx.doi.org/10.2188/jea.JE20190192 |