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mixed effects model
0:11:27
Linear mixed effects models - the basics
0:18:37
Linear mixed effects models
0:17:30
Simple Explanation of Mixed Models (Hierarchical Linear Models, Multilevel Models)
0:08:09
Fixed and random effects with Tom Reader
0:11:13
Lecture 9.1 Introduction to Mixed Effects Models
0:11:32
Mixed Model ANOVA (Analysis of Variance) Simply explained
0:17:02
Mixed Effects Models Part 1: What is a Mixed Effects Model?
0:35:03
Mixed Effects Models: A Conceptual Overview Using R
0:26:17
(Simplified) Linear Mixed Model in R with lme()
0:02:47
A Simple Explanation of Random Effect and Fixed Effect
0:11:33
How to decide whether an effect is fixed or random in mixed models
0:08:54
R Tutorial: Linear mixed-effects models part 1- Repeated measures ANOVA
0:11:00
Linear mixed effects models - random slopes and interactions | R and SPSS
0:03:06
Mixed Model Analysis
0:17:58
Mixed Effects Models for Longitudinal Data
0:15:41
Intro to Mixed Effect Models
0:18:28
Mixed Models, Hierarchical Linear Models, and Multilevel Models: A simple explanation
0:36:17
018. Linear Mixed Effects Models
0:01:25
New in Stata 15: Nonlinear mixed-effects models
0:12:48
Nonlinear mixed effects models (NLME) - explained
0:01:14
New in Stata 14: Small-sample inference for mixed-effects models
0:23:46
Stats Apps Tutorials: 23. How to run Linear Mixed Effects Models in SPSS, JASP, and R
0:18:21
Mixed Model Analysis: Real Example
0:05:21
R: Normality Assumption Linear Mixed Effects Model (Multilevel Model)
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