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Identifying Causal Effects With Proxy Variables of an Unmeasured Confounder
We consider a causal effect that is confounded by an unobserved variable, but with observed proxy variables of the confounder. We show that, with at least two independent proxy variables satisfying a certain rank condition, the causal effect is nonparametrically identified, even if the measurement e...
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| Publicado en: | Biometrika |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
2018
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| Materias: | |
| Acceso en línea: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7746017/ https://ncbi.nlm.nih.gov/pubmed/33343006 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asy038 |
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