2 citations · 2 across the 4 of their papers we have counts for
5 papers
Interpreting Hierarchical Composite Endpoints with Survival and Longitudinal Outcomes: Application to Amyotrophic Lateral Sclerosis Trials
Arlina Shen, Dehua Bi, Ruben P. A. van Eijk +2
Hierarchical composite endpoints combining survival and longitudinal functional outcomes are increasingly used in clinical trials, especially when death precludes subsequent functi…
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…
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…
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…
BaySize: Bayesian Sample Size Planning for Phase I Dose-Finding Trials
Xiaolei Lin, Jiaying Lyu, Shijie Yuan +2
We propose BaySize, a sample size calculator for phase I clinical trials using Bayesian models. BaySize applies the concept of effect size in dose finding, assuming the MTD is defi…