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Instrumental variables as bias amplifiers with general outcome and confounding
Drawing causal inference with observational studies is the central pillar of many disciplines. One sufficient condition for identifying the causal effect is that the treatment-outcome relationship is unconfounded conditional on the observed covariates. It is often believed that the more covariates w...
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| Publié dans: | Biometrika |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Oxford University Press
2017
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5636691/ https://ncbi.nlm.nih.gov/pubmed/29033459 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/asx009 |
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