M7 - Generalized Linear Models
Learning Goals
- Describe the components of the generalized linear model (GLM);
- Apply special cases of the GLM (linear regression) to real datasets;
- Interpret and report the results of linear regressions;
- Apply special cases of the GLM (ANOVA) to real datasets;
- Interpret and report the results of ANOVA.
Recordings
- GLMs 1 - Intro to GLM and linear regression
- GLMs 2 - Multiple linear regression and AIC to select variables
- GLMs 3 - One-way ANOVA and Post-hoc test
- GLMs 4 - Two-way ANOVA, main effects and interaction effects
- GLMs 5 - One-sample and two-sample T-test