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stat.ME2023
The Blessings of Multiple Treatments and Outcomes in Treatment Effect Estimation
Yong Wu, Mingzhou Liu, Jing Yan +4
Assessing causal effects in the presence of unobserved confounding is a challenging problem. Existing studies leveraged proxy variables or multiple treatments to adjust for the con…
stat.ME2023
Doubly Robust Proximal Causal Learning for Continuous Treatments
Yong Wu, Yanwei Fu, Shouyan Wang +1
Proximal causal learning is a promising framework for identifying the causal effect under the existence of unmeasured confounders. Within this framework, the doubly robust (DR) est…