Dan Huang

1. Performing statistical analysis for clinical trials (mainly phase I pharmacokinetics studies and phase III longitudinal studies), including mixed models for repeated measures, analysis of covariance, non-parametric methods etc. 2. Programming and quality control of CDISC datasets, figures, tables and listings; maintaining the SAS global environment and writing SAS macros to improve programming efficiency. 3. Review annotated CRF, SAP, table shells and CSR, supporting for statistical analysis plan.

1. Conducting extensive molecular and statistic methods (e.g. multilevel analysis, multinomial logistic regression, multiple testing,etc.) to evaluate the predictive value of Glycans in complex diseases with focus on T2D 2. Applying extensive statistic methods(PCA analysis, residual analysis, Kruskal testing etc.) to explore the relationship between physical activity and T1D;

1. Organising and offering tutor support for R programming courses, assist and correct students’ project assignments 2. Preparation of courses materials, including NHANES data project with Latex and R Markdown

Quantitative method, Clinical research and Epidemiology, Applied statistics, Epidemiology and Research design, Advanced epidemiological and statistical methods, Health communication

- General subjects: Biochemistry, Physiology, Pharmacology, Genetics, Internal Medicine, Surgery, Infectious Disease, Gynecology,​ Neurology, etc. - Occupational subjects: Medical Statistics, Epidemiology, Nutrition Hygiene, Occupational Health and Environmental Health, etc