Basics of Linear RegressionCovers the basics of linear regression, including OLS estimators, hypothesis testing, and confidence intervals.
Inference and Mixed ModelsCovers point estimation, confidence intervals, and hypothesis testing for smooth functions using mixed models and spline smoothing.