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Donglin Zeng, PhD


Public Health

My research interest focuses on on semiparametric/nonparametric inference, high-dimensional data analysis, machine learning and personalized medicine, with important contributions to clinical trials, observational studies, survival analysis, causal inference, and missing data. I have co-authored over 300 papers, most of which have appeared in first-tier statistical and medical journals. I am a Fellow of the American Statistical Association and a Fellow of the Institute of Mathematical Statistics. 


Improving dynamic treatment decision using trials and real-world evidence, Precision analytics for mental disorders using high-dimensional biomarkers

University Affiliation(s)


Research Area(s)

Biostatistics | Data science / Analytics / AI | Disease Modeling | Health outcomes | Mathematical modeling & statistical analysis | Medical decision making | machine learning | mobile health | predictive modeling


  • Principal investigator of: Enhancing Alzheimer's Drug Development: A Novel Longitudinal Rank-Sum Test for Multiple Primary Endpoints in Clinical Trials and Observational Studies
  • Principal investigator of: Statistical and Machine Learning Methods to Improve Dynamic Treatment Regimens Estimation Using Real World Data
  • Co-investigator of: United States Renal Data System Coordinating Center
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