131 citations · 352 across the 94 of their papers we have counts for
11 papers · 2 filters
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…
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…
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…
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…
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…
A Robust Framework for Two-Sample Mendelian Randomization under Population Heterogeneity
Dingke Tang, Xuming He, Shu Yang
Mendelian randomization is a powerful tool for causal inference in observational studies. The two-sample summary-data design, which estimates genetic associations with exposures an…
Improving Treatment Effect Estimation in Trials through Adaptive Borrowing of External Controls
Qinwei Yang, Jingyi Li, Peng Wu +1
Randomized controlled trials (RCTs) often suffer from limited inferential efficiency in estimating treatment effects due to their small sample sizes. In recent years, incorporating…
Sample-split REGression SREG: A robust estimator for high-dimensional survey data
Yonghyun Kwon, Shu Yang, Jae Kwang Kim
Model-assisted regression estimation is fundamental in survey sampling for incorporating auxiliary information. However, when the auxiliary dimension grows with the sample size, th…
Spatial Causal Tensor Completion for Multiple Exposures and Outcomes: An Application to the Health Effects of PFAS Pollution
Xiaodan Zhou, Brian J Reich, Shu Yang
Per- and polyfluoroalkyl substances (PFAS) are typically encountered as mixtures of distinct chemicals with distinct effects on multiple health outcomes. Estimating joint causal ef…
Selective Information Borrowing for Region-Specific Treatment Effect Inference under Covariate Mismatch in Multi-Regional Clinical Trials
Chenxi Li, Ke Zhu, Shu Yang +1
Multi-regional clinical trials (MRCTs) are central to global drug development, enabling evaluation of treatment effects across diverse populations. A key challenge is valid and eff…
Estimating optimal interpretable individualized treatment regimes from a classification perspective using adaptive LASSO
Yunshu Zhang, Shu Yang, Wendy Ye +2
Real-world data (RWD) gains growing interests to provide a representative sample of the population for selecting the optimal treatment options. However, existing complex black box…