Bioinformatics course timetable
Tuesday 1 October
09:30 |
Generalised linear models are the kind of models we would use if we had to deal with non-continuous response variables. For example, this happens if you have count data or a binary outcome. This course aims to introduce generalised linear models, using the R software environment. Similar to Core statistics using R this course addresses the practical aspects of using these models, so you can explore real-life issues in the biological sciences. The Generalised linear models using R course builds heavily on the knowledge gained in the core statistics sessions, which means that the Core statistics using R course is a firm prerequisite for joining. There are several aims to this course: 1. Be able to distinguish between linear models and generalised linear models 2. Analyse binary outcome and count data using R 3. Critically assess model fit R is an open-source programming language so all of the software we will use in the course is free. We will be using the R Studio interface throughout the course. Most of the code will be focussed around the tidyverse and tidymodels packages, so a basic understanding of the tidyverse syntax is essential. If you do not have a University of Cambridge Raven account please book or register your interest here. Additional information
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