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Part 2: Linear mixed model
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Lecture 9.1 Introduction to Mixed Effects Models
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An Introduction to Multilevel Modeling - basic terms and research examples - John Nezlek
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(Simplified) Linear Mixed Model in R with lme()
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Linear mixed effects models - the basics
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Fixed and random effects with Tom Reader
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Tech talk: A practical introduction to Bayesian hierarchical modelling
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Lecture 9.2 Analyzing a Linear Mixed Model
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How to decide whether an effect is fixed or random in mixed models
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Multilevel Models: Introducing multilevel modelling | Ian Brunton-Smith
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Keynote: After the AI Hype – What’s Real, and What’s Next - Richard Campbell - 2026
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Generalized Linear Mixed Models for Everything
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The Scariest Chart in Electrical Engineering
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How To Think SO Clearly People Assume You're Brilliant
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Avicii, Dua Lipa, Coldplay, Martin Garrix & Kygo, The Chainsmokers Style - SUMMER DEEP HOUSE Mix
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Why Does Time Stop at the SPEED OF LIGHT? Feynman's Mind-Blowing Truth
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Lecture 9.3 Analyzing a Generalized Linear Mixed Model
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How to interpret (and assess!) a GLM in R
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Statistical Rethinking 2026 - Lecture A01 - Introduction to Bayesian Workflow
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