Shu Yang
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/
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)
- 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)
- Functional principal component analysis with informative observation times , BIOMETRIKA (2024)
- Improving randomized controlled trial analysis via data-adaptive borrowing , BIOMETRIKA (2024)
- Integrative analysis of high-dimensional RCT and RWD subject to censoring and hidden confounding , LIFETIME DATA ANALYSIS (2025)
- Two-phase rejective sampling and its asymptotic properties , JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2025)
- A UNIFIED INFERENCE FRAMEWORK FOR MULTIPLE IMPUTATION USING MARTINGALES , STATISTICA SINICA (2022)
- A diverse portfolio of marine protected areas can better advance global conservation and equity , PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2024)
- Causal Inference Methods for Combining Randomized Trials and Observational Studies: A Review , STATISTICAL SCIENCE (2024)