Additional Campus Affiliations
Assistant Professor, Statistics
Recent Publications
Yu, R., & Ding, P. (Accepted/In press). Balancing Weights for Causal Inference in Observational Factorial Studies. Journal of the American Statistical Association. https://doi.org/10.1080/01621459.2025.2602837
Yu, R., & Wang, S. (2024). TREATMENT EFFECTS ESTIMATION BY UNIFORM TRANSFORMER. Paper presented at 12th International Conference on Learning Representations, ICLR 2024, Hybrid, Vienna, Austria.
Yu, R. (2023). How well can fine balance work for covariate balancing. Biometrics, 79(3), 2346-2356. https://doi.org/10.1111/biom.13771
Yu, R. (2023). Matching Methods for Large Observational Studies. In J. R. Zubizarreta, E. A. Stuart, D. S. Small, & P. R. Rosenbaum (Eds.), Handbook of Matching and Weighting Adjustments for Causal Inference (pp. 239-260). (Chapman & Hall/CRC Handbooks of Modern Statistical Methods). CRC Press. https://doi.org/10.1201/9781003102670-13
Yu, R., Kelz, R., Lorch, S., & Keele, L. J. (2023). The risk of maternal complications after cesarean delivery: Near-far matching for instrumental variables study designs with large observational datasets. Annals of Applied Statistics, 17(2), 1701-1721. https://doi.org/10.1214/22-AOAS1691