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stat.ME2025
On the Graphical Rules for Recovering the Average Treatment Effect Under Selection Bias
Yichi Zhang, Haidong Lu
Selection bias is a major obstacle toward valid causal inference in epidemiology. Over the past decade, several graphical rules based on causal diagrams have been proposed as suffi…
stat.ME2025
Reinforcement Learning for Respondent-Driven Sampling
Justin Weltz, Angela Yoon, Yichi Zhang +2
Respondent-driven sampling (RDS) is widely used to study hidden or hard-to-reach populations by incentivizing study participants to recruit their social connections. The success an…
stat.ME2024
Semiparametric Localized Principal Stratification Analysis with Continuous Strata
Yichi Zhang, Shu Yang
Principal stratification is essential for revealing causal mechanisms involving post-treatment intermediate variables, in real-world applications like surrogate marker evaluation.…