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Ruoqi Yu

Assistant Professor

Additional Campus Affiliations

Assistant Professor, Statistics

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.

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.

Yu, R., & Rosenbaum, P. R. (2022). Graded Matching for Large Observational Studies. Journal of Computational and Graphical Statistics, 31(4), 1406-1415.

Yu, R. (Accepted/In press). How well can fine balance work for covariate balancing. Biometrics, 79(3), 2346-2356.

Yu, R. (2021). Evaluating and improving a matched comparison of antidepressants and bone density. Biometrics, 77(4), 1276-1288.

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