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Learn about (multiple) linear mixed models, an extension of linear models that allow for both fixed and random effects. This lecture is an adaptation of the introductory tutorial for performing linear mixed effects analyses (Tutorial 2) by Bodo Winter (http://www.bodowinter.com/tutorial/bw.... We'll deal with random intercept and random slope models to model the voice pitch of individuals answering multiple questions. Lectures: https://dannyarends.nl/rlectures/ Assignments and Answers: https://dannyarends.nl/r2022/ Playlist: • Data analysis using R Chapters: 00:00:00 - Sound check and introduction 00:05:05 - Answers to Assignments Lecture 8 01:04:44 - Break 1: Tasmanian Devil gifs 01:11:06 - LMM Lecture Overview 01:14:59 - Why use Linear Mixed Models 01:20:05 - The Data Set used during the Lecture 01:22:04 - Building a basic linear model 01:23:56 - Introducing Random Effects 01:29:48 - LMMs in R using lmer 01:32:47 - Understanding the Output of a Linear Mixed Model 01:34:44 - Significance of Linear Mixed Model Predictor Variables 01:39:24 - Random Slopes versus Random Intercepts 01:45:56 - Lecture Overview 01:48:51 - Break 2: Honey Badger gifs 01:54:45 - Example: LMMs for QTL analysis in the Berlin Fat Mouse 02:38:02 - Questions and Outro Thanks for taking an interest in my channel 😄If you've made it this far down, support me by giving a like or subscribing. Join me during my live streams Thursday afternoons on YouTube or follow me on Twitch @ / dannyarends #rlanguage #programming #lectureseries #statistics #introduction #livestream #liveeducation #coding #educationalvideos #education #assignments #cleancode #lectures #playlist #free #course #msc #phd #english #englishstream #statisticsfordatascience #academia #academicyoutube #regression #regressionanalysis #mixedmodels #lmm #lmms #randomeffects #randomslope #randomintercept #qtl #berlinfatmouse #significance #lmer #anova