Introduction to Multilevel Modelling, May 2022

This course will be offered 9-20 May 2022 as a hybrid course, with local participants from the Atlantic Veterinary College and a limited number of external online participants from the Canadian veterinary colleges only. The main course instructors are Henrik Stryhn and Ian Dohoo, both from the Centre of Veterinary Epidemiological Research, University of Prince Edward Island, Canada.

Course description

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.

The course allows both in-class and online participation, where the former is restricted to local participants meeting UPEI’s conditions for access to the campus. All live sessions of the course will be streamed online by video-conferencing software, and all lectures and demonstrations will be recorded and made available to participants. Additionally, all course material will be accessible online. Live sessions will take place during afternoons local time.

Further detailed information about the course is accessible at its active webpage, accessible to course participants.

Registration

The following registration fees apply (amounts are in $Cdn and include taxes and administration fees): The course is full, and no further registration is expected. For all inquiries, contact the primary course instructor (Henrik Stryhn, at hstryhn@upei.ca).



Henrik Stryhn (hstryhn@upei.ca) 2022-05-02