A carregar...
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....
Na minha lista:
| Publicado no: | Biometrics |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2019
|
| Assuntos: | |
| Acesso em linha: | 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: |
Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!
|