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Xuewen Lu, PhD
PhD in Statistics Department of Mathematics and Statistics University of Guelph, CanadaM Sc in Statistics Department of Probability and Statistics Peking University, China
Bachelor in Mathematics Department of Mathematics Hunan Normal University, China
Areas of Research
Methodological Research in Statistics
Theoretical developments and applications in survival analysis, non/semi-parametric hazards regression, censored regression, frailty models, missing data models, multivariate analysis, longitudinal data analysis, generalized linear/additive models, mixed models, empirical likelihood method, econometrics, Bayesian statistics, variable selection, theory of semi-parametric methods, quantitative risk assessment and predictive microbiology models
Theoretical developments and applications in survival analysis, non/semi-parametric hazards regression, censored regression, frailty models, missing data models, multivariate analysis, longitudinal data analysis, generalized linear/additive models, mixed models, empirical likelihood method, econometrics, Bayesian statistics, variable selection, theory of semi-parametric methods, quantitative risk assessment and predictive microbiology models
Statistical Rresearch and Application in Medical, Health and Biological Sciences
Research in developing and justifying novel statistical methodology in medical and health science, biological science, engineering and economics where the statistics discipline is useful
Research in developing and justifying novel statistical methodology in medical and health science, biological science, engineering and economics where the statistics discipline is useful
Statistical Computing and Simulation
Statistical modelling, simulation and computing with SAS, Splus, R, C++ and Matlab
Statistical modelling, simulation and computing with SAS, Splus, R, C++ and Matlab
Big Data and Data Science
High-dimensional data analysis, variable selection and group selection in various models, dimension reduction
High-dimensional data analysis, variable selection and group selection in various models, dimension reduction
Supervising degrees
Math and Statistics - Doctoral: Accepting Inquiries
Math and Statistics - Masters: Accepting Inquiries
Math and Statistics - Masters: Accepting Inquiries
More information
Working with this supervisor
Students who are well motivated and dedicated to methodological research and application of statistics and biostatistics, with a solid background in mathematics, strong computer programming skill, excellent communication skills and can write research papers and conduct simulation studies in computer with independent efforts.
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