This advanced statistics course explores sophisticated statistical inference and modeling techniques tailored to public health and biomedical data analysis. Students will study maximum likelihood estimation, Bayesian inference, and linear mixed models, applying these concepts to real-world health datasets including longitudinal and cross-sectional data, across various study designs, such as observational and experimental studies. The course combines theoretical instruction with practical programming exercises and projects, enabling students to confidently analyze and interpret complex health data using advanced statistical methods.
- Teacher: lijinghua, Li Jinghua