Some lectures from the course will be available as video lectures. The source code and PDF files associated with the lectures will be posted below after they are presented in class. Source files for all slides are available from the master branch of the GitHub repository for this course.

[S=Slides | A=Annotated Slides ]

• Lecture 1: Introduction to Regression [ S | A ]
• Lecture 2: Simple Linear Regression and Least Squares [ S | A ]
• Lecture 3: Simple Linear Regression and ANOVA [ S | A ]
• Lecture 4: Introduction to Multiple Linear Regression [ S | A ]
• Lecture 5: Multiple Linear Regression: Least Squares Estimation and Polynomial Regression [ S | A ]
• Lecture 6: Multiple Linear Regression: Categorical Predictors [ S | A ]
• Lecture 7: Multiple Linear Regression: Parameter Inference [ S | A ]
• Lecture 8: Multiple Linear Regression: Multiple testing [ S | A ]
• Lecture 9: Multiple Linear Regression: Model checking [ S | A ]
• Lecture 10: Multiple Linear Regression: Model selection [ S | A ]
• Lecture 11: Multiple Linear Regression: Practical miscellany (added variable plots, interactions, predictor transformations) [ S | A ]
• Lecture 12: Using splines in regression [ S | A ]
• Lecture 13: Logistic Regression [ S | A ]
• Lecture 14: Longitudinal Data Analysis [ S | A ]
• Special Topic 1: Implementing Simulation Studies [ S | A ]
• Special Topic 2: Simulating Power [ S | A ]