Additional Campus Affiliations
Assistant Professor, Statistics
Recent Publications
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). 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
Yu, R., & Rosenbaum, P. R. (2022). Graded Matching for Large Observational Studies. Journal of Computational and Graphical Statistics, 31(4), 1406-1415. https://doi.org/10.1080/10618600.2022.2058001
Yu, R. (Accepted/In press). How well can fine balance work for covariate balancing. Biometrics, 79(3), 2346-2356. https://doi.org/10.1111/biom.13771