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stat.ME2020
The Promises of Parallel Outcomes
Ying Zhou, Dingke Tang, Dehan Kong +1
A key challenge in causal inference from observational studies is the identification and estimation of causal effects in the presence of unmeasured confounding. In this paper, we i…
stat.ME2020
Ultra-high Dimensional Variable Selection for Doubly Robust Causal Inference
Dingke Tang, Dehan Kong, Wenliang Pan +1
Causal inference has been increasingly reliant on observational studies with rich covariate information. To build tractable causal procedures, such as the doubly robust estimators,…