| MUCE: Bayesian hierarchical modelling for the design and analysis of phase 1b multiple expansion cohort trials J Lyu, T Zhou, S Yuan, W Guo, Y Ji Journal of the Royal Statistical Society Series C: Applied Statistics 72 (3 …, 2023 | 11 | 2023 |
| The Ci3+ 3 design for dual-agent combination dose-finding clinical trials S Yuan, T Zhou, Y Lin, Y Ji Journal of Biopharmaceutical Statistics 31 (6), 745-764, 2021 | 2 | 2021 |
| The Backfill i3+ 3 Design for Dose-Finding Trials in Oncology J Liu, S Yuan, BN Bekele, Y Ji arXiv preprint arXiv:2303.15798, 2023 | 1 | 2023 |
| Bayesian Sample Size Planning Tool for Phase I Dose-Finding Trials X Lin, J Lyu, S Yuan, D Bi, SJ Wang, Y Ji JCO Precision Oncology 6, e2200046, 2022 | 1 | 2022 |
| A Unified Decision Framework for Phase I Dose-Finding Designs Y Duan, S Yuan, Y Ji, P Mueller Statistics in Biosciences 16 (1), 69-85, 2024 | | 2024 |
| Pharmacometrics-Enabled DOse OPtimization (PEDOOP) for Seamless Phase I-II Trials in Oncology S Yuan, Z Huang, J Liu, Y Ji arXiv preprint arXiv:2309.17259, 2023 | | 2023 |
| Practical Impact of Modern Dose-Finding Designs When Compared With the 3+ 3 Design: An Editorial Y Ji, S Yuan JCO Precision Oncology 5, 1584-1587, 2021 | | 2021 |
| Lessons Learned from the Bayesian Design and Analysis for the BNT162b2 COVID-19 Vaccine Phase 3 Trial Y Ji, S Yuan arXiv preprint arXiv:2103.05499, 2021 | | 2021 |
Yuan Ji, PhDThe University of ChicagoVerified email at uchicago.edu
