Hongbin Zhang

Assistant Professor
Epidemiology and Biostatistics
(646) 364-9615
Professor Zhang’s methodological research in Computing Statistics focuses on handling data complexities such as measurement errors, missing data, truncated data, and various forms of censored data in longitudinal studies.He has been exploring the methods that can simultaneously address multiple complexities and balance accuracy and computational intensity through maximum likelihood and approximated likelihood.
Such work enriches the literature in joint modeling of longitudinal data and survival outcomes. It leads to growing publications (mostly as the first author) in top tier statistical journals, including Statistics in Medicine, Journal of Royal Statistical Society-C, and Annals of Applied Statistics. As PI, he received two NIH grants, R03 and R21, for multistate models and random change-point models with application in neurocysticercosis and HIV care.He is also keen to apply statistical methods through collaborative research, where he has more than 50 publications in orthopedic surgery, radiology, arthritis, and others.
PhD in Statistics from University of British Columbia, Vancouver
MSc in Statistics from University of British Columbia, Vancouver
MEng in Computer Sciences from Institute of Software, Chinese Academy, Beijing
BSc in Mathematics from Peking University, Beijing
Research Interests
Computing Statistics, Longitudinal data analysis, Missing data, Biostatistics applications, Causal inference.
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