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Huiman Xie Barnhart

James B. Duke Distinguished Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Biostatistics
Duke Box 3850, Durham, NC 27710
2424 Erwin Road, SUITE1102 Hock Plaza, Durham, NC 27710

Overview


My research interests include both statistical methodology and disease-specific clinical research biostatistics. My statistical research areas include methods for outcomes, endpoints, estimands, assessing reliability/agreement between methods or raters, evaluating performance of new medical diagnostic tests, and methods for design of clinical trials. My collaborative research include the following clinical areas: liver injury, cardiovascular imaging, radiology imaging, cardiovascular disease, renal disease, reproductive medicine, Parkinson disease, and aging.

Current Appointments & Affiliations


James B. Duke Distinguished Professor of Biostatistics & Bioinformatics · 2024 - Present Biostatistics & Bioinformatics, Division of Biostatistics, Biostatistics & Bioinformatics
Professor of Biostatistics & Bioinformatics · 2009 - Present Biostatistics & Bioinformatics, Division of Biostatistics, Biostatistics & Bioinformatics
Associate Chair for Faculty Mentorship and Development · 2019 - Present Biostatistics & Bioinformatics, Basic Science Departments
Member in the Duke Clinical Research Institute · 2003 - Present Duke Clinical Research Institute, Institutes and Centers

In the News


Published March 19, 2024
Duke Awards 32 New Distinguished Professorships for 2024

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Recent Publications


Liver Injury From Medications Used for Treating Inflammatory Bowel Disease: The Drug-Induced Liver Injury Network Experience.

Journal Article Liver Int · July 2026 BACKGROUND: We aimed to investigate and characterise DILI due to approved therapies for inflammatory bowel disease (IBD). METHODS: Using the Drug-Induced Liver Injury Network (DILIN) prospective study, we evaluated definite, highly likely, or probable DILI ... Full text Link to item Cite

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

Clinical and HLA Associations of Fluoroquinolone-Induced Liver Injury: Results From the Drug-Induced Liver Injury Network.

Journal Article Am J Gastroenterol · January 1, 2026 INTRODUCTION: Fluoroquinolones (FQ) have a favorable safety profile, but the risk of drug-induced liver injury (DILI) is well described. The aim of this study was to identify clinical features and HLA genetic variants associated with FQ-DILI in a large nat ... Full text Link to item Cite
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Recent Grants


Trial of Sequential Medications AfteR TNF failure in JIA (SMART-JIA)

ResearchCo-Principal Investigator · Awarded by Patient-Centered Outcomes Research Institute · 2024 - 2031

Drug Induced Liver Injury Network Data Coordinating Center

ResearchPrincipal Investigator · Awarded by National Institutes of Health · 2003 - 2028

Duke Training Grant in Digestive Diseases and Nutrition

Inst. Training Prgm or CMEPreceptor · Awarded by National Institute of Diabetes and Digestive and Kidney Diseases · 1988 - 2027

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Education


University of Pittsburgh · 1992 Ph.D.
University of Pittsburgh · 1988 M.A.