4 citations · 5 across the 3 of their papers we have counts for
5 papers
PAM-HC: A Bayesian Nonparametric Construction of Hybrid Control for Randomized Clinical Trials Using External Data
Dehua Bi, Tianjian Zhou, Wei Zhong +1
It is highly desirable to borrow information from external data to augment a control arm in a randomized clinical trial, especially in settings where the sample size for the contro…
Incorporating External Data into the Analysis of Clinical Trials via Bayesian Additive Regression Trees
Tianjian Zhou, Yuan Ji
Most clinical trials involve the comparison of a new treatment to a control arm (e.g., the standard of care) and the estimation of a treatment effect. External data, including hist…
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…
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…