Author

Eli Ben-Michael

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Sep 2026

Longitudinal causal inference with selective eligibility: Application to pretrial risk assessment

Dropout presents a major challenge for causal inference in longitudinal studies with time-varying treatments. We focus on selective eligibility—an important but overlooked source of nonignorable dropout that occurs when a unit’s prior treatment history affects its eligibility for future treatments. Our motivating appli...

Zhi-Chao Jiang, Eli Ben-Michael, D. Greiner et al. · Annals of Applied Statistics · 0 citations

Preprint Jul 2026

Learning Who to Treat When Treatment is Missing

Policy learning methods are increasingly used to inform treatment allocation under budget constraints. Most proposed methods assume complete treatment data, yet applications frequently suffer from missingness that can bias estimates and lead to suboptimal policies. We address this gap by extending efficient estimators...

John P. Sundberg, Rayid Ghani, Eli Ben-Michael et al. · 0 citations