output
20092025
most citedMachine-learned epidemiology: real-time detection of foodborne illness at scale

118 citations

Showing 2021Show all

5 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…

cs.SI2021★ 4 cited

Network Interventions: Applying Network Science for Pragmatic Action in Public Administration and Policy

Michael D. Siciliano, Travis A. Whetsell

Public management and policy scholars have engaged in extensive development of theory and empirical study of networks and collaborative systems of governance. This scholarship has…

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.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…