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Introduction to Statistical Concepts VI: Mixed Effects Models

March 17 @ 1:00 pm - 3:00 pm

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