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 ]
• Lecture 2: Simple Linear Regression and Least Squares [ S ]
• 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 and Identifiability [ S | A ]
• Lecture 6: Multiple Linear Regression: Model checking and diagnostics [ S | A ]
• Lecture 7: Multiple Linear Regression: Parameter Inference and Multiple Testing [ S | A ]
• Lecture 8: Multiple Linear Regression: Model Selection [ S | A ]
• Lecture 9: Multiple Linear Regression: Modeling Interactions [ S | A ]
• Lecture 10: Using splines in regression [ S ]
• Lecture 11: Logistic regression [ S ]

• Lecture 11: Longitudinal data analysis [ S ]

• Special topic: Data visualization principles
• Special topic: Data visualization using ggplot2
• Special topic: Multivariate data visualization
• Special topic: Simulation Studies
• Special topic: Power Simulation
• Special topic: Missing Data

• Special topic: Likelihood

• Lab 1
• Lab 2
• Lab 3
• R code for Lab 3
• Lab 3a
• Lab 4
• Lab 5