Onsite course: Data exploration, multiple linear regression, GLM, and GAM. With an intro to R. Livorno, Italy. 25 - 29 September 2023
Course venue: CIBM premises at the Scoglio della Regina, viale Italia 4/6, 57100 Livorno, Italy.
Course flyer: Flyer Livorno 2023
Detailed outline
Monday
- General introduction.
- Introduction to R.
- Theory presentation on data exploration.
- Two exercises on data exploration.
Tuesday
- Theory presentation bivariate linear regression.
- Exercise on bivariate linear regression.
- Theory presentation multiple linear regression.
- One exercise.
Wednesday
- Theory presentation one interactions in multiple linear regression models.
- One exercise.
- Theory presentation on Poisson and negative binomial distributions.
- Theory presentation on Poisson GLM.
- Exercise Poisson GLM.
- Theory presentation on negative binomial GLM.
- Exercise negative binomial GLM.
Thursday
- Theory presentation Bernoulli and binomial GLMs.
- Exercise Bernoulli GLM.
- Exercise binomial GLM.
- Introduction to DHARMa.
Friday
- Theory presentation on GAM.
- Exercises using Gaussian GAM.
- Exercise using Poisson and negative binomial GAM.
- Exercise using Bernoulli GAM.
- What to present in a paper.
Course material is based on:
- Zuur, Ieno and Smith (2007). Analysis Ecological Data. Springer.
- Zuur, Ieno, Elphick. (2010). A protocol for data exploration to avoiding common statistical problems. Methods in Ecology and Evolution, 1: 3-14.
- Zuur (2013) Beginner’s Guide to GAM with R.
- Zuur, Hilbe, Ieno (2013). Beginner’s Guide to GLM and GLMM with R.
1 hour face-to-face
The course includes a 1-hour face-to-face video chat with the instructors (to be used after the course). A discussion board (access for 12 months) allows for interaction on course content between instructors and participants. You are invited to apply the statistical techniques discussed during the course on your own data and if you encounter any problems, you can ask questions during the 1-hour face-to-face chat.