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.ME2025
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…
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…