Module 1

Introduction to Multilevel Modelling

Aug 17 – 28 (schedule)

Instructors: Professors Ian Dohoo and Henrik Stryhn

CVER, AVC, University of Prince Edward Island (UPEI)

The 10-day course is designed to provide participants 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 the code for fitting models in additional software packages (including Stata and R) will also be provided