In observational studies, identification of ATEs is generally achieved by assuming that the correct set confounders has been measured and properly included in relevant models. Because this assumption both strong untestable, a sensitivity analysis should be performed. Common approaches include modeling bias directly or varying propensity scores to probe effects potential unmeasured confounder. a...