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CAUSAL INFERENCE WITH A GRAPHICAL HIERARCHY OF INTERVENTIONS
Identifying causal parameters from observational data is fraught with subtleties due to the issues of selection bias and confounding. In addition, more complex questions of interest, such as effects of treatment on the treated and mediated effects may not always be identified even in data where trea...
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| Pubblicato in: | Ann Stat |
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| Autori principali: | , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5597261/ https://ncbi.nlm.nih.gov/pubmed/28919652 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1214/15-AOS1411 |
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