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Assessing sensitivity to unmeasured confounding is an important step in observational studies, which typically estimate effects under the assumption that all confounders are measured.
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A distributional approach for causal inference using propensity scores
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Kang, J. D., Schafer, J. L., et al. (2007) · 2007
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Amplification of sensitivity analysis in matched observational studies
Rosenbaum, P. R. and Silber, J. H. (2009) · 2009
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Zhao, Q., Small, D. S., and Bhattacharya, B. B. (2019) · 2019
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