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DAG-informed regression modelling, agent-based modelling and microsimulation modelling: a critical comparison of methods for causal inference
The current paradigm for causal inference in epidemiology relies primarily on the evaluation of counterfactual contrasts via statistical regression models informed by graphical causal models (often in the form of directed acyclic graphs, or DAGs) and their underlying mathematical theory. However, th...
Tallennettuna:
| Julkaisussa: | Int J Epidemiol |
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| Päätekijät: | , , , |
| Aineistotyyppi: | Artigo |
| Kieli: | Inglês |
| Julkaistu: |
Oxford University Press
2019
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| Aiheet: | |
| Linkit: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6380300/ https://ncbi.nlm.nih.gov/pubmed/30520989 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/ije/dyy260 |
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