In this course, we will see more advanced statistical models and techniques to provide you the necessary set of tools that will enable you to analyze different types of (biological) data, beyond classical linear modeling.
The course will be centered on "statistical modeling" applied to biological problems. Topics addressed during this course include advanced linear models, mixed models, generalized linear models, survival analysis. The emphasis will be put on concrete applications in biology, enabling the participants to analyze data consisting for example of counts or presence/absence of a feature.
At the end of this course, participants are expected to be able to:
- understand statistical modeling
- understand the specificities of the different models
- identify the appropriate model to analyze a dataset
- fit the desired model using R