Shu Yang
24 catalog papers. Identity-linked publications and additional name matches are distinguished below.
ORCID: 0000-0001-7703-707X
North Carolina State University
Publications
- Functional principal component analysis with informative observation times — Biometrika 2025
- Improving randomized controlled trial analysis via data-adaptive borrowing — Biometrika 2025
- Semiparametric localized principal stratification analysis with continuous strata — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2025
- Two-phase rejective sampling and its asymptotic properties — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2025
- Targeted optimal treatment regime learning using summary statistics — Biometrika 2023
- Spectral adjustment for spatial confounding — Biometrika 2023
- Soft calibration for selection bias problems under mixed-effects models — Biometrika 2023
- A multiplicative structural nested mean model for zero-inflated outcomes — Biometrika 2023
- Elastic integrative analysis of randomised trial and real-world data for treatment heterogeneity estimation — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2023
- Multiply robust estimation of causal effects under principal ignorability — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2022
- A spatial causal analysis of wildland fire-contributed PM2.5 using numerical model output — The Annals of Applied Statistics 2022
- Identifiability of causal effects with multiple causes and a binary outcome — Biometrika 2022
- Doubly robust inference when combining probability and non-probability samples with high dimensional data — Journal of the Royal Statistical Society: Series B (Statistical Methodology) 2020
- Semiparametric estimation of structural failure time models in continuous-time processes — Biometrika 2020
- Combining Multiple Observational Data Sources to Estimate Causal Effects — Journal of the American Statistical Association 2020
- Causal inference with confounders missing not at random — Biometrika 2019
- Flexible Imputation of Missing Data, 2nd ed. — Journal of the American Statistical Association 2019
- Discussion of “Penalized Spline of Propensity Methods for Treatment Comparison” by Zhou, Elliott, and Little — Journal of the American Statistical Association 2019
- Approximate Bayesian inference under informative sampling — Biometrika 2018
- Asymptotic inference of causal effects with observational studies trimmed by the estimated propensity scores — Biometrika 2018
- A note on multiple imputation under complex sampling — Biometrika 2017
- A note on multiple imputation for method of moments estimation — Biometrika 2016
- A goodness-of-fit test for structural nested mean models — Biometrika 2016
- A Spectral Confounder Adjustment for Spatial Regression with Multiple Exposures and Outcomes — Journal of the American Statistical Association