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stat.ME2021
Doubly-Valid/Doubly-Sharp Sensitivity Analysis for Causal Inference with Unmeasured Confounding
Jacob Dorn, Kevin Guo, Nathan Kallus
We consider the problem of constructing bounds on the average treatment effect (ATE) when unmeasured confounders exist but have bounded influence. Specifically, we assume that omit…
math.ST2021★ 34 cited
Sharp Sensitivity Analysis for Inverse Propensity Weighting via Quantile Balancing
Jacob Dorn, Kevin Guo
Inverse propensity weighting (IPW) is a popular method for estimating treatment effects from observational data. However, its correctness relies on the untestable (and frequently i…