Mixed Effects Models (UBC Statistics & Graduate Pathways to Success Webinar Series)

This webinar series provides an overview of foundational statistical concepts using examples of various data structures. They will discuss types of study designs, methods, models and appropriate application of statistical tests along with interpretations of the results obtained from different statistical tools. The aim is to equip the attendees with a deeper understanding of the key concepts of statistical methodology, rather than solving specific project problems or providing hands-on guidance.

Each webinar is a self-contained introduction to different statistical concepts, but as topics become increasingly complex with each consecutive webinar, some aspects will be built on concepts taught in the previous sessions. 

Previous Workshops

THURSDAY, MARCH 17, 2022
1:00 – 3:00 PM

This is the 6th and final workshop in a 6-part series focused on the foundations of statistics.

This webinar is critical for understanding when linear regression models aren’t applicable and how to model dependent data. Topics that will be covered are:

• Consequences of Ignoring Dependence (Increased Risk of False Conclusions)

• Repeated Measures and Other Examples of Dependent Data

• Variance Components

• Interpretation in the Linear and Generalized Linear Mixed Effects Context

*Registration opens on the Monday, a week prior to the event.