1 citations · 1 across the 3 of their papers we have counts for
3 papers
stat.ME2025
Efficient estimation of average treatment effects with unmeasured confounding and proxies
Chunrong Ai, Jiawei Shan
Proximal causal inference provides a framework for estimating the average treatment effect (ATE) in the presence of unmeasured confounding by leveraging outcome and treatment proxi…
stat.ME2024
Nonparametric Estimation of Path-specific Effects in Presence of Nonignorable Missing Covariates
Jiawei Shan, Ting Wang, Wei Li +1
The path-specific effect (PSE) is of primary interest in mediation analysis when multiple intermediate variables between treatment and outcome are observed, as it can isolate the s…
stat.ME2024★ 1 cited
Efficient Nonparametric Inference for Mediation Analysis with Nonignorable Missing Confounders
Jiawei Shan, Wei Li, Chunrong Ai
Mediation analysis is widely used for exploring treatment mechanisms; however, it faces challenges when nonignorable missing confounders are present. Efficient inference of mediati…