activity
20162023
most citedMUCE: Bayesian Hierarchical Modeling for the Design and Analysis of Phase 1b Multiple Expansion Cohort Trials

16 citations · 72 across the 18 of their papers we have counts for

collaborators
Showing 2021Show all

7 papers · 1 filter

stat.ME2021★ 7 cited

On Bayesian Sequential Clinical Trial Designs

Tianjian Zhou, Yuan Ji

Clinical trials usually involve sequential patient entry. When designing a clinical trial, it is often desirable to include a provision for interim analyses of accumulating data wi…

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.ME2021★ 1 cited

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…

stat.ME2021★ 2 cited

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…

stat.ME2021★ 3 cited

PoD-BIN: A Probability of Decision Bayesian Interval Design for Time-to-Event Dose-Finding Trials with Multiple Toxicity Grades

Meizi Liu, Yuan Ji, Ji Lin

We consider a Bayesian framework based on "probability of decision" for dose-finding trial designs. The proposed PoD-BIN design evaluates the posterior predictive probabilities of…

stat.AP2021★ 5 cited

The Ci3+3 Design for Dual-Agent Combination Dose-Finding Clinical Trials

Shijie Yuan, Tianjian Zhou, Yawen Lin +1

We propose a rule-based statistical design for combination dose-finding trials with two agents. The Ci3+3 design is an extension of the i3+3 design with simple decision rules compa…

stat.AP2021

Lessons Learned from the Bayesian Design and Analysis for the BNT162b2 COVID-19 Vaccine Phase 3 Trial

Yuan Ji, Shijie Yuan

The phase III BNT162b2 mRNA COVID-19 vaccine trial is based on a Bayesian design and analysis, and the main evidence of vaccine efficacy is presented in Bayesian statistics. Confus…