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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Oxford University Press
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5636691/ https://www.ncbi.nlm.nih.gov/pubmed/29033459 http://dx.doi.org/10.1093/biomet/asx009 |