Shu Yang
SY
Bio
Shu Yang is Associate Professor of Statistics at North Carolina State University. Her primary research interest is causal inference and data integration, particularly with applications to comparative effectiveness research in health studies. She also works extensively on methods for missing data and spatial statistics.
Website: https://shuyang.wordpress.ncsu.edu/
Research Impact Dashboard
Area(s) of Expertise
Causal inference in longitudinal observational data
Semiparametric efficient estimation
Missing data analysis and imputation methods
Publications
- A practical analysis procedure on generalizing comparative effectiveness in the randomized clinical trial to the real-world trial-eligible population , JOURNAL OF BIOPHARMACEUTICAL STATISTICS (2025)
- Data fusion methods for the heterogeneity of treatment effect and confounding function , BERNOULLI (2025)
- Double machine learning methods for estimating average treatment effects: a comparative study , JOURNAL OF BIOPHARMACEUTICAL STATISTICS (2025)
- Doubly robust omnibus sensitivity analysis of externally controlled trials with intercurrent events , BIOMETRICS (2025)
- Integrative analysis of high-dimensional RCT and RWD subject to censoring and hidden confounding , LIFETIME DATA ANALYSIS (2025)
- Matching estimators of causal effects in clustered observational studies , JOURNAL OF CAUSAL INFERENCE (2025)
- Semiparametric localized principal stratification analysis with continuous strata , JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2025)
- Sensitivity Analysis for Unmeasured Confounding in Medical Product Development and Evaluation Using Real World Evidence , STATISTICS IN BIOPHARMACEUTICAL RESEARCH (2025)
- Statistical inference for heterogeneous treatment effect with right-censored data from synthesizing randomized clinical trials and real-world data , BIOMETRICS (2025)
- Two-phase rejective sampling and its asymptotic properties , JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2025)