Statistics essentials: ANOVACovers the essentials of ANOVA, explaining its concept, calculations, assumptions, and interpretation of results.
Model SelectionCovers model selection, emphasizing the tradeoff between complexity and error in data analysis.
GLM IIExplores GLM II, covering hypothesis testing, F-tests, multiple comparisons, and enriching the model to account for imaging artifacts.
GLM and Statistical Testing IllustratedExplores GLM, statistical testing, neural signals, and signal processing, covering contrasts, multiple comparisons, F-tests, functional connectivity, resting-state fMRI, and multivariate methods.
