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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...
Αποθηκεύτηκε σε:
| Τόπος έκδοσης: | J Epidemiol |
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| Κύριοι συγγραφείς: | , , |
| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
Japan Epidemiological Association
2020
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| Θέματα: | |
| Διαθέσιμο Online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7064555/ https://ncbi.nlm.nih.gov/pubmed/32009103 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.2188/jea.JE20190192 |
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