Faculty Profile

Highlights

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Denis Leung is an internationally recognized statistician whose influential research spans missing data analysis, empirical likelihood, and advanced statistical methods, with significant applications in health, economics, and biomedical sciences.

Renowned for methodological innovation in missing data and empirical likelihood, Denis Leung’s work bridges theoretical advances and practical solutions in health, economics, and biomedical research; his contributions have shaped survey methodology, robust inference, and policy-relevant analytics, with a consistent emphasis on real-world impact and interdisciplinary collaboration.

Focused research areas include Development and application of advanced statistical methodologies for missing data, semiparametric and nonparametric inference, longitudinal and panel data analysis, mixture models, and robust model selection, with a strong emphasis on empirical applications in health, epidemiology, and economics.

Areas of Expertise

Missing dataHealth statisticsData science

Past Awarded Grant

Latest Publications

QUALIFICATIONS:

D. Phil., Oxford University, 1989
M.A., York University, 1985
B.Sc., University of Toronto, 1984

RESEARCH INTERESTS:

Missing data
Semiparametric Inference
Empirical analysis of survey data
Spatial analysis
Panel data analysis

http://www.mysmu.edu/faculty/denisleung/default151.htm

RESEARCH INTERESTS:

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