activity
20152026
most citedPropensity Score Matching and Subclassification in Observational Studies with Multi-level Treatments

131 citations · 352 across the 94 of their papers we have counts for

collaborators

102 papers

stat.ME2026

Bridge-Anchored Partial Identification of a Target Mean under Outcome-Model Drift

Danhyang Lee, Shinyoung Jeon, Shu Yang

Transporting an outcome relationship from a source population to a target population where the outcome is unobserved requires the conditional outcome law to be stable across popula…

stat.ME2026

Power and Sample Size Calculations for Hybrid Controlled Trials

Ke Zhu, Shu Yang, Xiaofei Wang

Hybrid controlled trials (HCTs) augment randomized controls with external controls (ECs) to address practical challenges in randomized controlled trials (RCTs) and improve statisti…

stat.ME2026

Robust Estimation and Inference with Selective Borrowing in Hybrid Controlled Trials: A Tutorial with SelectiveIntegrative and intFRT

Ke Zhu, Hairong Huang, Shu Yang +1

Hybrid controlled trials (HCTs) augment randomized controlled trials (RCTs) with external controls (ECs) to improve statistical efficiency when RCTs face limited sample sizes, slow…

stat.ME2026

History-Aware Conformal Prediction Sets for Censored Time-to-Event Outcomes

Yuyao Wang, Alexander W. Levis, Shu Yang +1

Existing conformal prediction methods for time-to-event outcomes leverage only baseline covariates, producing prediction intervals that are insufficiently informative to facilitate…

stat.ME2026

Externally Controlled Trials: A Review of Design and Borrowing Through a Causal Lens

Ke Zhu, Rima Izem, Peng Yang +8

Externally controlled trials (ECTs) are increasingly used when randomized controls are infeasible, unethical, or insufficient, including applications in rare diseases, oncology, pe…

stat.AP2026

Adaptive Influence-Based Borrowing Framework for Improving Treatment Effect Estimation in RCTs Using External Controls

Peng Wu, Jile Chaoge, Shu Yang

Randomized controlled trials (RCTs) often suffer from limited sample sizes due to high costs and lengthy recruitment periods, compromising precision in treatment effect estimation.…