4 papers · 1 filter
Identifiability of the instrumental variable model with the treatment and outcome missing not at random
Shuozhi Zuo, Peng Ding, Fan Yang
The instrumental variable model of Imbens and Angrist (1994) and Angrist et al. (1996) identifies the local average treatment effect, also known as the complier average causal effe…
Self-separated and self-connected models for mediator and outcome missingness in mediation analysis
Trang Quynh Nguyen, Razieh Nabi, Fan Yang +2
Missing data is a common challenge in studying treatment effects. In the context of mediation analysis, this paper addresses missingness in the mediator and outcome, focusing on id…
Identification and estimation of the conditional average treatment effect with nonignorable missing covariates, treatment, and outcome
Shuozhi Zuo, Yixin Wang, Fan Yang
Treatment effect heterogeneity is central to policy evaluation, social science, and precision medicine, where interventions can affect individuals differently. In observational stu…
Two-Phase Treatment with Noncompliance: Identifying the Cumulative Average Treatment Effect via Multisite Instrumental Variables
Guanglei Hong, Xu Qin, Zhengyan Xu +1
When evaluating a two-phase intervention, the cumulative average treatment effect (ATE) is often the primary causal estimand of interest. However, some individuals who do not respo…