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Causal Inference When Counterfactuals Depend on the Proportion of All Subjects Exposed
The assumption that no subject’s exposure affects another subject’s outcome, known as the no-interference assumption, has long held a foundational position in the study of causal inference. However, this assumption may be violated in many settings, and in recent years has been relaxed considerably....
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| Pubblicato in: | Biometrics |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6679813/ https://ncbi.nlm.nih.gov/pubmed/30714118 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/biom.13034 |
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