3 papers
stat.ME2026
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…
stat.ME2026
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…
stat.ME2026
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…