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Invited Commentary: Agent-Based Models for Causal Inference—Reweighting Data and Theory in Epidemiology

The relative weights of empirical facts (data) and assumptions (theory) in causal inference vary across disciplines. Typically, disciplines that ask more complex questions tend to better tolerate a greater role of theory and modeling in causal inference. As epidemiologists move toward increasingly c...

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Dades bibliogràfiques
Publicat a:Am J Epidemiol
Autor principal: Hernán, Miguel A.
Format: Artigo
Idioma:Inglês
Publicat: Oxford University Press 2015
Matèries:
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC4351346/
https://ncbi.nlm.nih.gov/pubmed/25480820
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/aje/kwu272
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