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math.ST2023
Bayesian sensitivity analysis for a missing data model
Bart Eggen, Stéphanie L. van der Pas, Aad W. van der Vaart
In causal inference, sensitivity analysis is important to assess the robustness of study conclusions to key assumptions. We perform sensitivity analysis of the assumption that miss…
math.ST2023
Asymptotics of Caliper Matching Estimators for Average Treatment Effects
Máté Kormos, Stéphanie van der Pas, Aad van der Vaart
Caliper matching is used to estimate causal effects of a binary treatment from observational data by comparing matched treated and control units. Units are matched when their prope…