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Roland Albert Matsouaka

Associate Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Biostatistics
Duke Box 17969, Durham, NC 27710
300 W. Morgan Street, Room 433, Durham, NC 27701

Overview


Positions

  • Associate Professor of Biostatistics & Bioinformatics
  • Associate Chair for Culture, Engagement, and Impact in the Department of Biostatistics & Bioinformatics
  • Member of the Duke Clinical Research Institute

I am an Associate Professor in the Department of Biostatistics and Bioinformatics at Duke University. I am also affiliated with the Duke Clinical Research Institute and the Consortium for the Holistic Assessment of Risk in Transplant (CHART).

The substantive areas of application of my research include public health, biomedical, and social sciences.   As a DCRI faculty statistician, I collaborate with clinical researchers to better understand and treat cardiovascular diseases. I am actively involved in the analyses of large registry data, including the Society of Thoracic Surgeons (STS) National Database, the STS and American College of Cardiology (ACC) Transcatheter Valve Therapy (TVTR) Registry, and the American Heart Association/American Stroke Association Get With The Guidelines (GTWG).

Current Duke Appointments & Affiliations


Associate Professor of Biostatistics & Bioinformatics · 2023 - Present Biostatistics & Bioinformatics, Division of Biostatistics, Biostatistics & Bioinformatics
Associate Chair for Culture, Engagement, and Impact in the Department of Biostatistics & Bioinformatics · 2024 - Present Biostatistics & Bioinformatics, Basic Science Departments
Member of the Duke Clinical Research Institute · 2014 - Present Duke Clinical Research Institute, Institutes and Centers

Recent Scholarly Works


Estimation and inference of the win ratio for two hierarchical endpoints subject to censoring and missing data.

Journal article J Biopharm Stat · May 11, 2026 The win ratio (WR) is a widely used metric to compare treatments in randomized clinical trials with hierarchically ordered endpoints. Counting-based approaches, such as Pocock's algorithm, are the standard for WR estimation. However, this algorithm treats ... Full text Link to item Cite
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Recent Grants


UrogynCREST Program

ResearchCourse Faculty · Awarded by Eunice Kennedy Shriver National Institute of Child Health and Human Development · 2019 - 2029

Living donor liver transplant in minority populations

ResearchBiostatistician · Awarded by Vanderbilt University Medical Center · 2023 - 2028

Balancing Risks and Benefits of Direct Oral Anticoagulants in Older Ischemic Stroke Patients with Atrial Fibrillation

ResearchStatistical Investigator · Awarded by University of Texas Southwestern Medical Center · 2022 - 2026

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Education


Harvard University · 2012 Ph.D.

External Links


Website