| Finite sample change point inference and identification for high-dimensional mean vectors M Yu, X Chen Journal of the Royal Statistical Society Series B: Statistical Methodology …, 2021 | 39 | 2021 |
| A robust bootstrap change point test for high-dimensional location parameter M Yu, X Chen Electronic Journal of Statistics 16 (1), 1096-1152, 2022 | 16 | 2022 |
| Phase 1 study of safety, pharmacokinetics, and antiviral activity of SARS‐CoV‐2 neutralizing monoclonal antibody ABBV‐47D11 in patients with COVID‐19 M Shebley, S Wang, I Ali, P Krishnan, R Tripathi, JM Reardon, J Cafardi, ... Pharmacology Research & Perspectives 11 (1), e01036, 2023 | 4 | 2023 |
| Enrollment forecast for clinical trials at the portfolio planning phase based on site‐level historical data S Zhong, Y Xing, M Yu, L Wang Pharmaceutical Statistics 23 (2), 151-167, 2024 | 1 | 2024 |
| Enrollment Forecast for Clinical Trials at the Planning Phase with Study-Level Historical Data M Yu, S Zhong, Y Xing, L Wang Therapeutic Innovation & Regulatory Science 58 (1), 42-52, 2024 | | 2024 |
| High-dimensional change point detection for mean and location parameters M Yu University of Illinois at Urbana-Champaign, 2020 | | 2020 |
| Regularization After Marginal Learning for Ultra-High Dimensional Regression Models Y Feng, M Yu Big and Complex Data Analysis: Methodologies and Applications, 3-28, 2017 | | 2017 |
