3 papers
stat.ME2026
Proximal Mediation Analysis with Unmeasured Treatment-Induced Confounding
Xiaoying Zhang, Jiawei Shan, Wei Li
Mediation analysis provides a central framework for elucidating causal mechanisms, yet its application is often impeded by treatment-induced confounding, under which the widely use…
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…