RESEARCH

Yu, R. and Wang, S. (2024) Treatment Effects Estimation by Uniform Transformer. International Conference on Learning Representations.

Yu, R., Kelz, R., Lorch, S. and 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. (2022) How well can fine balance work for covariate balancing. Biometrics, to appear.

Yu, R. and Rosenbaum, P. R. (2022) Graded matching for large observational studies. Journal of Computational and Graphical Statistics, 31(4), 1406-1415.

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

Yu, R., Small, D. S. and Rosenbaum, P. R. (2021) The information in covariate imbalance in studies of hormone replacement therapy. Annals of Applied Statistics, 15(4), 2023–2042.

Yu, R., Small, D. S., Harding, D., Aveldanes, J. and Rosenbaum, P. R. (2021) Optimal matching for observational studies that integrate quantitative and qualitative research. Statistics and Public Policy, 8(1), 42-52.

Yu, R., Silber, J. H. and Rosenbaum, P. R. (2020) Rejoinder: Matching methods for observational studies derived from large administrative databases. Statistical Science, 35(3), 371-374.

Yu, R., Silber, J. H. and Rosenbaum, P. R. (2020) Matching methods for observational studies derived from large administrative databases (with Discussion). Statistical Science, 35(3), 338-355.

Yu, R. and Rosenbaum, P. R. (2019) Directional penalties for optimal matching in observational studies. Biometrics, 75(4), 1380-1390.

bigmatch: Making optimal matching size-scalable using optimal calipers.

DiPs: Directional penalties for optimal matching in observational studies.

thickmatch: Threshold matching for thick description for optimal matching in observational studies.

met: Evaluating and improving matched samples in observational studies.

WUNT: Covariate balancing by uniform transformer. 

RBestMatch: Graded matching for large observational studies.