3 papers
stat.ME2024
BESS: A Bayesian Estimator of Sample Size
Dehua Bi, Yuan Ji
We consider a Bayesian framework for estimating the sample size of a clinical trial. The new approach, called BESS, is built upon three pillars: Sample size of the trial, Evidence…
stat.ME2023
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…
stat.ME2023
A Class of Dependent Random Distributions Based on Atom Skipping
Dehua Bi, Yuan Ji
We propose the Plaid Atoms Model (PAM), a novel Bayesian nonparametric model for grouped data. Founded on an idea of `atom skipping', PAM is part of a well-established category of…