An introduction to the principles of and methods for longitudinal and clustered data analysis with special emphasis on clinical, epidemiologic, and public health applications; marginal and conditional methods for continuous and binary outcomes; mixed effects and hierarchical models; and simulations for power calculations. Knowledge of Stata and SAS.
Longitudinal and Clustered Data
Completion of EPID 5270 or equivalent preparation in biostatistics, including generalized linear models, principles of first-year calculus and matrix algebra. Permission of Instructor