Course Director: Linda Gerber, PhD
3 credits
The course will deliver an advanced topic in data analysis that is extremely important for an independent biostatistician: Hierarchical (Mixed Effect) Models with Applications in Longitudinal Data Analysis. This course will give students necessary tools to analyze clustered data, data with hierarchical structure, previously analyzed data from multiple sources (meta-analysis), repeated measure and longitudinal data. The course will cover how to model and analyze such data, and how to remedy missing values in such data. The course will also incorporate instruction in the statistical software R. Every statistical technique will be subsequently followed by instruction and demonstration in R, analyzing real data.