Authors

Yonghan Jung

Publications 2

Preprint Open access

Prediction-Powered Data Fusion for Treatment Effect Estimation

Yonghan Jung, Shu Yang · 2026

Randomized controlled trials (RCTs) identify treatment effects without confounding but are often small, whereas observational studies (OBS) are large but may be confounded. Many estimators combining a small RCT with a large OBS have been developed for the average treatment effect (ATE) and the conditional ATE (CATE). H …

Preprint Open access

Proximal Balancing for Causal Effect Estimation under Unmeasured Confounding

Yonghan Jung · 2026

Estimating causal effects from observational data is central to science and policy, but the effects are not identified when confounders are unmeasured. Proximal causal inference addresses this problem with proxies of the unmeasured confounders. However, existing proxy-based approaches either designate proxy roles and s …

Co-authors

Shu Yang