| Debiased inverse-variance weighted estimator in two-sample summary-data Mendelian randomization T Ye, J Shao, H Kang The Annals of statistics 49 (4), 2079-2100, 2021 | 45 | 2021 |
| Toward better practice of covariate adjustment in analyzing randomized clinical trials T Ye, J Shao, Y Yi, Q Zhao Journal of the American Statistical Association, 1-13, 2022 | 30* | 2022 |
| Association between transesophageal echocardiography and clinical outcomes after coronary artery bypass graft surgery EJ MacKay, B Zhang, S Heng, T Ye, MD Neuman, JG Augoustides, ... Journal of the American Society of Echocardiography 34 (6), 571-581, 2021 | 26 | 2021 |
| Inference on the average treatment effect under minimization and other covariate-adaptive randomization methods T Ye, Y Yi, J Shao Biometrika 109 (1), 33-47, 2022 | 25 | 2022 |
| Chemoprotective effects of dietary grape powder on UVB radiation-mediated skin carcinogenesis in SKH-1 hairless mice CK Singh, CA Mintie, MA Ndiaye, G Chhabra, PP Dakup, T Ye, M Yu, ... Journal of Investigative Dermatology 139 (3), 552-561, 2019 | 23 | 2019 |
| Robust tests for treatment effect in survival analysis under covariate-adaptive randomization T Ye, J Shao Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2020 | 20 | 2020 |
| A robust approach to sample size calculation in cancer immunotherapy trials with delayed treatment effect T Ye, M Yu Biometrics 74 (4), 1292-1300, 2018 | 20 | 2018 |
| Estimating individualized optimal combination therapies through outcome weighted deep learning algorithms M Liang, T Ye, H Fu Statistics in medicine 37 (27), 3869-3886, 2018 | 18 | 2018 |
| Sample size calculations in clinical research, by Shein-Chung Chow, Jun Shao, Hansheng Wang, and Yuliya Lokhnygina: Chapman & Hall/CRC Biostatistics Series, New York, Taylor … T Ye, Y Yi Statistical Theory and Related Fields 1 (2), 265-266, 2017 | 18 | 2017 |
| PLK1 and NOTCH positively correlate in melanoma and their combined inhibition results in synergistic modulations of key melanoma pathways S Su, G Chhabra, MA Ndiaye, CK Singh, T Ye, W Huang, CN Dewey, ... Molecular cancer therapeutics 20 (1), 161-172, 2021 | 15 | 2021 |
| GENIUS-MAWII: For robust Mendelian randomization with many weak invalid instruments T Ye, Z Liu, B Sun, ET Tchetgen arXiv preprint arXiv:2107.06238, 2021 | 13 | 2021 |
| Bridging preference‐based instrumental variable studies and cluster‐randomized encouragement experiments: Study design, noncompliance, and average cluster effect ratio B Zhang, S Heng, EJ MacKay, T Ye Biometrics 78 (4), 1639-1650, 2022 | 10 | 2022 |
| Instrumented difference‐in‐differences T Ye, A Ertefaie, J Flory, S Hennessy, DS Small Biometrics 79 (2), 569-581, 2023 | 9 | 2023 |
| Fifa: Making fairness more generalizable in classifiers trained on imbalanced data Z Deng, J Zhang, L Zhang, T Ye, Y Coley, WJ Su, J Zou arXiv preprint arXiv:2206.02792, 2022 | 9 | 2022 |
| On Mendelian randomization mixed-scale treatment effect robust identification (MR MiSTERI) and estimation for causal inference Z Liu, T Ye, B Sun, M Schooling, ET Tchetgen arXiv preprint arXiv:2009.14484, 2020 | 9 | 2020 |
| A negative correlation strategy for bracketing in difference-in-differences T Ye, L Keele, R Hasegawa, DS Small Journal of the American Statistical Association, 1-13, 2023 | 8 | 2023 |
| Cox regression with survival‐time‐dependent missing covariate values Y Yi, T Ye, M Yu, J Shao Biometrics 76 (2), 460-471, 2020 | 8 | 2020 |
| Testing hypotheses under covariate-adaptive randomisation and additive models T Ye Statistical Theory and Related Fields 2 (1), 96-101, 2018 | 8 | 2018 |
| Generalized Difference-in-Differences DB Richardson, T Ye, EJT Tchetgen Epidemiology, 10.1097, 2022 | 6 | 2022 |
| Minimax rates and adaptivity in combining experimental and observational data S Chen, B Zhang, T Ye arXiv preprint arXiv:2109.10522, 2021 | 6 | 2021 |
Jun ShaoProfessor of Statistics, University of Wisconsin MadisonVerified email at stat.wisc.edu
