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Hwanhee Hong

Associate Professor of Biostatistics & Bioinformatics
Biostatistics & Bioinformatics, Division of Biostatistics
Duke Box 2721, Durham, NC 27705
2424 Erwin Road, Suite 1105, Durham, NC 27705

Overview


I am interested in developing Bayesian statistical methods for comparative effectiveness research, network meta-analysis, causal inference, measurement error, and generalizability. A flexible Bayesian modeling framework enables us to easily integrate different data sources and borrow information adaptively across them. The ultimate goal of my research is to provide comprehensive evidence from multiple data sources for answering clinical and scientific questions in public health and medicine.

Current Appointments & Affiliations


Associate Professor of Biostatistics & Bioinformatics · 2023 - Present Biostatistics & Bioinformatics, Division of Biostatistics, Biostatistics & Bioinformatics
Member in the Duke Clinical Research Institute · 2018 - Present Duke Clinical Research Institute, Institutes and Centers

Recent Publications


A Bayesian re-analysis of the STRESS trial.

Journal Article Am Heart J · February 2026 BACKGROUND: Prophylactic steroids are often used to reduce the systemic inflammatory response to cardiopulmonary bypass in infants undergoing heart surgery. The STRESS trial found that the odds of a worse outcome did not differ between infants randomized t ... Full text Link to item Cite

Trials augmented by external control data using balancing weights: A comparison of estimands and estimators.

Journal Article Contemp Clin Trials · January 13, 2026 As the availability of real-world data has expanded in recent years, studies leveraging external controls (ECs) have emerged as potential alternatives to conventional randomized controlled trials (RCTs). While RCTs remain the gold standard for estimating t ... Full text Link to item Cite

Precision Mental Health: Predicting Heterogeneous Treatment Effects for Depression through Data Integration.

Journal Article J R Stat Soc Ser C Appl Stat · December 12, 2025 When treating depression, clinicians are interested in determining the optimal treatment for a given patient, which is challenging given the amount of treatments available. To advance individualized treatment allocation, integrating data across multiple ra ... Full text Link to item Cite
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Recent Grants


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

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

Hospital-to-Home Care Coordination for Children and Youth with Special Health Care Needs

Clinical TrialCo Investigator · Awarded by Patient-Centered Outcomes Research Institute · 2024 - 2030

Teams Engaged in Accessible Mental Health Interventions for Lupus Erythematosus and Dermatomyositis Stress

ResearchBiostatistician · Awarded by National Institutes of Health · 2025 - 2030

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Education, Training & Certifications


University of Minnesota, Twin Cities · 2013 Ph.D.
Harvard University · 2010 M.S.

External Links


Personal Web