This is an open course
Open online live course: Introduction to Linear Mixed-Effects Models,GLMM and Multivariate GLMM with R.
- Dates: 8, 9, 10, 15, 16, 17 January 2023.
- Times: 14.00 - 19.00 UK time (09.00-14.00 EST).
- Included: 2 hours face-to-face video chat about your data. See flyer for details and conditions.
- Live online teaching is from 14.00-19.00 UK time (09.00-14.00 EST).
- There are six 5-hour sessions over a 2-week period.
- The course includes a few theory presentations along with a large number of exercises using real data sets.
- Detailed, annotated R code will be provided, and a brief period will be set aside for practice before each exercise is discussed in depth.
- Please note that this is not a self-study course.
We begin with an introduction to R and provide a protocol for data exploration to avoid common statistical problems. We will discuss how to detect outliers, deal with collinearity and transformations.
An important statistical tool is multiple linear regression. Various basic linear regression topics will be explained from a biological point of view. We will discuss potential problems and show how generalised linear models (GLM) can be used to analyse count data, presence-absence data and proportional data. Sometimes, parametric models (linear regression, GLM) do not quite fit the data and in such cases generalised additive models (GAM; a smoothing technique) can be used.
During the course, we will discuss Gaussian, Poisson, negative binomial, and Bernoulli GLMs and GAMs. The course website contains a bonus module with on-demand video files discussing Tweedie, Gamma, binomial, and beta GLMs (with exercises).
For more information, see the course flyer: Flyer2024_01_DERGG.pdf