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On falsification of the binary instrumental variable model
Instrumental variables are widely used for estimating causal effects in the presence of unmeasured confounding. The discrete instrumental variable model has testable implications for the law of the observed data. However, current assessments of instrumental validity are typically based solely on sub...
Autores principales: | Wang, Linbo, Robins, James M., Richardson, Thomas S. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819759/ https://www.ncbi.nlm.nih.gov/pubmed/29505035 http://dx.doi.org/10.1093/biomet/asw064 |
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