Introduction to Statistical Concepts VI: Mixed Effects Models

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