You’ve probably heard of GLMM (generalized linear mixed models) — or maybe you’ve heard of one of its popular software implementations, such as glmer or GLIMMIX.

Are you wondering if this is something that you need to use when analyzing your data?

In this webinar, you’ll learn why and when your data needs GLMM. We’ll dig into an example so you can see how it works.

Important: Attendees should feel comfortable with linear models, and it may be helpful to have some background in generalized linear models and/or linear mixed effects models. This webinar is not software specific.

Covered in this webinar:

1. The type of outcome variables that may require GLMM
2. The structure of data that may require GLMM
3. The assumptions of GLMM
4. A basic outline of the analytical method
5. Examples of the practical results obtained from GLMM