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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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Bibliografiska uppgifter
I publikationen:Am J Epidemiol
Huvudupphovsman: Hernán, Miguel A.
Materialtyp: Artigo
Språk:Inglês
Publicerad: Oxford University Press 2015
Ämnen:
Länkar: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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