Module 5: Regression Methods – Concepts and Applications
Instructors: Rebecca Hubbard, PhD (she/her/hers) and Xu Shi, PhD (she/her/hers)
Welcome
Overview
This module consists of a series of pre-recorded lectures that will introduce you to the basic concepts of regression for the analysis of associations between continuous or binary outcome variables and one or more predictor variables. Lectures are available for you to watch on your own and will be followed by interactive sessions in which we will go over any questions that you have and get hands-on experience applying these concepts to the analysis of data using R. Students are asked to watch the recorded lectures in advance of live sessions and work through labs using R (link to download R and RStudio).
Link to zoom live sessions and recordings of the live sessions will be available when you log in to the SISG website, and will also be emailed to participants (subtitle: “Welcome to SISG Module 5”) and posted on Slack.
Schedule
Wednesday 7/13
- On your own: Simple Linear Regression – Part 1 (video 40 mins, slides pages 1-32)
- On your own: Simple Linear Regression – Part 2 (video 40 mins, slides pages 32-58)
- Live session 1:15 – 2:30pm PT: Questions and lab exercises 1–3 (labs, solutions, R codes, data)
Thursday 7/14
- On your own: Model checking – Part 1 (video 40 mins, slides pages 1-15)
- On your own: Model checking – Part 2 (video 40 mins, slides pages 15-35)
- Live session 10:15 – 11:30am PT: Questions and lab exercises 4–6 (labs, solutions, R codes, data)
- On your own: Multiple linear regression – Part 1 (video 35 mins, slides pages 1-24)
- On your own: Multiple linear regression – Part 2 (video 45 mins, slides pages 24-49)
- Live session 1:15 – 2:30pm PT: Questions and lab exercises 7–8 (labs, solutions, R codes, data)
- On your own: One-way ANOVA (video 53 mins, slides pages 1-44)
Friday 7/15
- On your own: Multiple comparisons and two-way ANOVA – Part 1 (video 47 mins, slides pages 45-68)
- On your own: Multiple comparisons and two-way ANOVA – Part 2 (video 42 mins, slides pages 68-93)
- Live session 10:15 – 11:30am PT: Questions and lab exercises 9–12 (labs, solutions, R codes, data)
- On your own: Logistic regression and generalized linear models – Part 1 (video 45 mins, slides pages 1-30)
- On your own: Logistic regression and generalized linear models – Part 2 (video 27 mins, slides pages 31-56)
- Live session 1:15 – 2:30pm PT: Questions and lab exercises 13–17 (labs, solutions, R codes, data)