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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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| Huvudupphovsmän: | , |
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| Materialtyp: | Artigo |
| Språk: | Inglês |
| Publicerad: |
2014
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| Ämnen: | |
| Länkar: | 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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