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Causal Models and Learning from Data: Integrating Causal Modeling and Statistical Estimation

The practice of epidemiology requires asking causal questions. Formal frameworks for causal inference developed over the past decades have the potential to improve the rigor of this process. However, the appropriate role for formal causal thinking in applied epidemiology remains a matter of debate....

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Detalhes bibliográficos
Main Authors: Petersen, Maya L., van der Laan, Mark J.
Formato: Artigo
Idioma:Inglês
Publicado em: 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4077670/
https://ncbi.nlm.nih.gov/pubmed/24713881
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1097/EDE.0000000000000078
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