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stat.ME2026
Non-parametric Causal Inference in Dynamic Thresholding Designs
Aditya Ghosh, Stefan Wager
We consider causal inference in dynamic settings where treatment is assigned by thresholding a state variable that can change over time. There is a large literature on regression-d…
stat.ME2026
Which Covariates to Adjust for? Specification-robust Causal Inference in Observational Studies
Aditya Ghosh, Dominik Rothenhäusler
In observational causal inference, domain knowledge often leaves multiple covariate adjustments plausible, yet which sets satisfy ignorability is untestable. Different adjustment s…