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Causal inference, probability theory, and graphical insights
Causal inference from observational studies is a fundamental topic in biostatistics. The causal graph literature typically views probability theory as insufficient to express causal concepts in observational studies. In contrast, the view here is that probability theory is a desirable and sufficient...
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| Главный автор: | |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2013
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4072761/ https://ncbi.nlm.nih.gov/pubmed/23661231 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.5828 |
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