Dear all,
Registration is now open for the course "GENERALIZED LINEAR MODELS in R"
Dates: online, 19-23 June
In this course, we will introduce GLMs as a unified, coherent, and easily extendable framework for the analysis of many types of data, including Normal (Gaussian), binary, and discrete (count) response variables with both categorical (factors) and continuous predictors.
The course is aimed at graduate students and researchers with basic statistical knowledge that want to learn how to analyze experimental and observation data with generalized linear regression models in R. Basic knowledge means that we assume knowledge about foundational statistical concepts (e.g. standard error, p-value, hypothesis testing) that are usually covered in a first introductory statistics class. Participants should also be familiar with Rstudio and have some experience in programming R code, including being able to import, manipulate (e.g. modify variables) and visualize data. If you have never used R before, it will be more useful for you to take an introductory R course first.
