Donglin Zeng, PhD
He/Him
Professor
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.
Projects:
Improving dynamic treatment decision using trials and real-world evidence, Precision analytics for mental disorders using high-dimensional biomarkers
University Affiliation(s)
IHPI
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
Grants
- 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