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 UNIFIED INFERENCE FRAMEWORK FOR MULTIPLE IMPUTATION USING MARTINGALES , STATISTICA SINICA (2024)
- 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)
- Distributional imputation for the analysis of censored recurrent events , STATISTICS IN MEDICINE (2024)
- Estimating spatially varying health effects of wildland fire smoke using mobile health data , JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES C-APPLIED STATISTICS (2024)
- Multiply robust estimation of marginal structural models in observational studies subject to covariate-driven observations , BIOMETRICS (2024)
- Multiply robust estimators in longitudinal studies with missing data under control-based imputation , BIOMETRICS (2024)
- Propensity score matching for estimating a marginal hazard ratio , STATISTICS IN MEDICINE (2024)
- Propensity score matching for estimation of pairwise marginal hazard ratios , COMMUNICATIONS IN STATISTICS-THEORY AND METHODS (2024)
- Response to comment on "Transporting survival of an HIV clinical trial to the external target populations by Lee et al. (2024)" , JOURNAL OF BIOPHARMACEUTICAL STATISTICS (2024)