028. Recap of Longitudinal Methods
In this video we recap all of the concepts that were covered in the analysis of longitudinal data, from marginal marginals, to mixed effects models, to transition models, and missing data. I talk briefly about the results that we saw, the limitations that motivated these developments and some ways that these techniques can be expanded. After this point we will be consider survival analysis, which is related, but distinct. Video Timeline 00:00 - Introduction 01:00 - What are Longitudinal Data? 03:22 - Marginal Models 07:00 - Mixed Effects Models 09:22 - Transition Models 11:22 - Missing Data
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029. Introduction to Time-to-Event Data
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Simple Explanation of Mixed Models (Hierarchical Linear Models, Multilevel Models)
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013. Generalized Estimating Equations: Examples of GEEs
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Why The Russian Accent Terrifies Everyone
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The Insane Genius of a Formula 1 Gearbox
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Mixed Models, Hierarchical Linear Models, and Multilevel Models: A simple explanation
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My Golden Retriever Heals a Terrified Rescue Kitten in Just 3 Meetings!
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Applied Longitudinal Data Analysis
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If You Have A Bad Memory, I’ll Help You Fix It In 28 Minutes
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018. Linear Mixed Effects Models
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Introduction to analysing longitudinal data | CLOSER Learning Hub
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The Covariance Matrix : Data Science Basics
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What RAF Pilots Said When They First Flew The American P-51 Mustang
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Introduction to longitudinal data analysis
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ACRM 2022 IC17: Longitudinal Data Analysis Using R: Part I Introductory Topics
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The power of mixed-effects models | Longitudinal 3
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