3 citations · 4 across the 3 of their papers we have counts for
3 papers
stat.ME2022★ 3 cited
A Comparative Tutorial of Bayesian Sequential Design and Reinforcement Learning
Mauricio Tec, Yunshan Duan, Peter Müller
Reinforcement Learning (RL) is a computational approach to reward-driven learning in sequential decision problems. It implements the discovery of optimal actions by learning from a…
stat.ME2021
A Unified Decision Framework for Phase I Dose-Finding Designs
Yunshan Duan, Shijie Yuan, Yuan Ji +1
The purpose of a phase I dose-finding clinical trial is to investigate the toxicity profiles of various doses for a new drug and identify the maximum tolerated dose. Over the past…
stat.ME2020★ 1 cited
Hi3+3: A Model-Assisted Dose-Finding Design Borrowing Historical Data
Yunshan Duan, Sue-Jane Wang, Yuan Ji
Background -- In phase I clinical trials, historical data may be available through multi-regional programs, reformulation of the same drug, or previous trials for a drug under the…