Advanced Statistics in Population Health

This course offers an in-depth exploration of advanced statistical techniques essential for population health research. Designed to build upon foundational statistical knowledge, the course provides exposure to a range of topics, which may include generalized linear models (GLM), multilevel modeling, longitudinal data analysis, survival analysis, structural equation modeling, and the application of sampling weights in complex survey designs. Emphasizing both theoretical understanding and practical application, students will engage in hands-on analysis of health data, learning to interpret and apply advanced statistical methods in real-world population health research contexts.