018. Linear Mixed Effects Models

In this video we introduce, in full, mixed effect models for continuous outcomes. We discuss the specific (common) situations of random intercept and random slope models, and discuss how these generalize beyond. We discuss how we estimate parameters, conduct inference, and test hypothesis. We also spend some time detailing individual level prediction with BLUPs. Video Timeline 00:00 - Introduction 01:22 - Linear Mixed Effects Models 06:11 - Distributions of Random Effects Terms 16:47 - Specific Examples 22:59 - Estimation and Hypothesis Testing 26:03 - Response Predictions (BLUPs) 30:45 - Summary and Conclusions