9 citations · 34 across the 10 of their papers we have counts for
4 papers · 1 filter
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…
Semiparametric Bayesian Inference for the Transmission Dynamics of COVID-19 with a State-Space Model
Tianjian Zhou, Yuan Ji
The outbreak of Coronavirus Disease 2019 (COVID-19) is an ongoing pandemic affecting over 200 countries and regions. Inference about the transmission dynamics of COVID-19 can provi…
MUCE: Bayesian Hierarchical Modeling for the Design and Analysis of Phase 1b Multiple Expansion Cohort Trials
Jiaying Lyu, Tianjian Zhou, Shijie Yuan +2
We propose a multiple cohort expansion (MUCE) approach as a design or analysis method for phase 1b multiple expansion cohort trials, which are novel first-in-human studies conducte…
Statistical Frameworks for Oncology Dose-Finding Designs with Late-Onset Toxicities: A Review
Tianjian Zhou, Yuan Ji
In oncology dose-finding trials, due to staggered enrollment, it might be desirable to make dose-assignment decisions in real-time in the presence of pending toxicity outcomes, for…