4 papers
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…
Environment-Adaptive Covariate Selection: Learning When to Use Spurious Correlations for Out-of-Distribution Prediction
Shuozhi Zuo, Yixin Wang
A common approach to out-of-distribution prediction restricts models to causal or invariant covariates to avoid spurious associations that may change across environments. Despite i…
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…
Mediation analysis with the mediator and outcome missing not at random
Shuozhi Zuo, Debashis Ghosh, Peng Ding +1
Mediation analysis is widely used for investigating direct and indirect causal pathways through which an effect arises. However, many mediation analysis studies are challenged by m…