Recent Publications
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
Yu, R. (2021). Evaluating and improving a matched comparison of antidepressants and bone density. Biometrics, 77(4), 1276-1288. https://doi.org/10.1111/biom.13374