LFU:online

The students differentiate between types of variables, and identify appropriate descriptive statistics for them. Students describe inferences and propose appropriate statistical methods to implement them. Students express biological hypotheses in terms of testable statistical hypotheses, and propose appropriate methodologies to evaluate them. Students understand the assumptions of different statistical tests, and perform appropriate data transformations. Students implement these principles in simple R scripts taylored for specific datasets.

- Theory: Introduction to statistics
- Practive: Introduction to R
- Theory: Descriptive and inferential statistics
- Practice: Cleaning data in R and basic inferences
- Theory: Hypothesis testing
- Practice: Using R to test hypotheses
- Theory: Data transformations and assumptions
- Practice: Data tansformations and testing assumptions

Workshop

oral

This will be a workshop based PhD course, with a content tailored to meet the needs and requirements of the thesis topics of the participants.

Per request, the course will be held in September, and exact dates will be decided among the course participants.

For those interested in taking the course a first meeting will be held online the 25th of March at 10am. During this meeting we will decide on the exact dates, and in more detail towards which topics and statistical concepts/methodsthe course content should be tailored.

Note acceptance to this course is possible after the 21st of february 2025, and admission will be made after interest has been expressed over email