Wordt geladen...
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....
Bewaard in:
| Gepubliceerd in: | Biometrics |
|---|---|
| Hoofdauteurs: | , , |
| Formaat: | Artigo |
| Taal: | Inglês |
| Gepubliceerd in: |
2019
|
| Onderwerpen: | |
| Online toegang: | 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 |
| Tags: |
Voeg label toe
Geen labels, Wees de eerste die dit record labelt!
|