5 citations · 15 across the 6 of their papers we have counts for
4 papers · 1 filter
A Multi-Arm Two-Stage (MATS) Design for Proof-of-Concept and Dose Optimization in Early-Phase Oncology Trials
Zhenghao Jiang, Gu Mi, Ji Lin +2
The Project Optimus initiative by the FDA's Oncology Center of Excellence is widely viewed as a groundbreaking effort to change the of conventional dose-findi…
The Backfill i3+3 Design for Dose-Finding Trials in Oncology
Jiaxin Liu, Shijie Yuan, B. Nebiyou Bekele +1
We consider a formal statistical design that allows simultaneous enrollment of a main cohort and a backfill cohort of patients in a dose-finding trial. The goal is to accumulate mo…
Posterior Contraction Rate of Sparse Latent Feature Models with Application to Proteomics
Tong Li, Tianjian Zhou, Kam-Wah Tsui +2
The Indian buffet process (IBP) and phylogenetic Indian buffet process (pIBP) can be used as prior models to infer latent features in a data set. The theoretical properties of thes…
PoD-TPI: Probability-of-Decision Toxicity Probability Interval Design to Accelerate Phase I Trials
Tianjian Zhou, Wentian Guo, Yuan Ji
Cohort-based enrollment can slow down dose-finding trials since the outcomes of the previous cohort must be fully evaluated before the next cohort can be enrolled. This results in…