A note on a sensitivity analysis for unmeasured confounding, and the related E-value
Unmeasured confounding is one of the most important threats to the validity of observational studies. In this paper we scrutinize a recently proposed sensitivity analysis for unmeasured confounding. The analysis requires specification of two parameters, loosely defined as the maximal strength of ass...
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Format: | Article |
Language: | English |
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De Gruyter
2020-12-01
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Series: | Journal of Causal Inference |
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Online Access: | https://doi.org/10.1515/jci-2020-0012 |