Lecture 01: The General Linear Model

The standard error and confidence intervals

Null Hypothesis Significance Testing

Understanding Generalized Linear Models (Logistic, Poisson, etc.)

GLM vs. GAM - Generalized Additive Models

GLM: Model fit and multiple predictors

ANOVA - A Full Lecture to learn Analysis of Variance

Simple Explanation of Mixed Models (Hierarchical Linear Models, Multilevel Models)

Categorical predictors (comparing means)

Structural Equation Modeling: what is it and what can we use it for? (part 1 of 6)

The Beast of Bias

What is Multilevel Analysis?

11. Introduction to Machine Learning

Linear Regression, Clearly Explained!!!

Explaining linear regression

How to interpret (and assess!) a GLM in R

Contrast coding

Learn Statistical Regression in 40 mins! My best video ever. Legit.

21. Generalized Linear Models

Heteroskedasticity and Homoskedasticity... What are they???

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