Yongdong Ouyang

Assistant Professor

Roswell Park Comprehensive Cancer Center

United States

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Yongdong Ouyang is an Assistant Professor at Roswell Park Comprehensive Cancer Center in the United States. His research focuses on Bayesian analysis and its applications in clinical trials, particularly in the design and analysis of stepped-wedge cluster randomized trials. He has authored several recent articles that explore adaptive enrichment designs, intra-cluster correlation coefficients, and optimization strategies for clinical trial methodologies.

Articles (10)

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2025

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2024

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2024

Collaborators (6)

Fan Li

Assistant Professor

Yale School of Public Health

UNITED STATES

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Michael Walsh

Associate Professor

McMaster University

CANADA

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Karen Bosma

Associate Professor of Medicine

Western University

CANADA

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Guangyu Tong

Yale University

UNITED STATES

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Can Meng

Yale University

UNITED STATES

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Stephanie Dixon

CANADA

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Yongdong Ouyang

Research Interests

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About

Articles (10)

Bayesian Analysis of Time-To-Event Data in a Cluster-Randomized Trial: Major Outcomes With Personalized Dialysate TEMPerature (MyTEMP) Trial

A review of current practice in the design and analysis of extremely small stepped-wedge cluster randomized trials

Bayesian adaptive enrichment design in multi-arm clinical trials: The BayesAET package for R users

Development and usability testing of a multifaceted intervention to reduce low-value injury care

Using Bayesian pre-trial simulations to optimize the design of adaptive clinical trials in childhood nephrotic syndrome

Adherence to key recommendations for design and analysis of stepped-wedge cluster randomized trials: A review of trials published 2016–2022

Maintaining the validity of inference from linear mixed models in stepped-wedge cluster randomized trials under misspecified random-effects structures

Estimates of intra-cluster correlation coefficients from 2018 USA Medicare data to inform the design of cluster randomized trials in Alzheimer’s and related dementias

Proportional Assist Ventilation for Minimizing the Duration of Mechanical Ventilation (the PROMIZING study): update to the statistical analysis plan for a randomized controlled trial

Using Simulation to Optimize the Design of Adaptive Clinical Trials

Collaborators (6)

Fan Li

Michael Walsh

Karen Bosma

Guangyu Tong

Can Meng

Stephanie Dixon

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