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...

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Detalles Bibliográficos
Autores principales: Arnold, Kellyn F, Harrison, Wendy J, Heppenstall, Alison J, Gilthorpe, Mark S
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380300/
https://www.ncbi.nlm.nih.gov/pubmed/30520989
http://dx.doi.org/10.1093/ije/dyy260

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6380300/
https://www.ncbi.nlm.nih.gov/pubmed/30520989
http://dx.doi.org/10.1093/ije/dyy260

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