MODULE 2 Introduction to Multilevel Modelling 5 day course June 17-21, 2013 Instructed by: Drs. Ian Dohoo & Henrik Stryhn This five-day course is designed to provide students with the knowledge and skills required to successfully fit multilevel models to both continuous data (linear models) and discrete data (emphasis on logistic and Poisson models). The presentation of theoretical background material is limited to that which is required for a reasonable understanding of the methods employed. Specific topics covered in the course include: introduction to multilevel/hierarchical data, mixed models for continuous data, mixed models for discrete data, model evaluation (diagnostics), analysis of repeated measures and alternative approaches to dealing with clustered data (including Bayesian methods). The main software used for the instruction is MLwiN, but code for fitting models in either Stata or R will also be provided. Students are encouraged to bring their own data to the course and will be provided with time and assistance to analyze those data.