Analysis of Biomedical Data with R
A.Y. 2025/2026
Course offered to students on the PhD programme in
Visit the PhD website for the course schedule and other information
Lead instructor: Gianfranco Alicandro
"This course aims to enhance students' proficiency in statistical and technical tools for analysing biomedical data. It provides advanced training in experimental design and statistical methodologies. Key topics include experimental design, analysis of variance, replication, multiple testing correction, and regression techniques for continuous, binary, and count data.
Students will be introduced to the R programming language and will learn to apply statistical methods through a hands-on approach using real data. The course will be delivered over 3/4 days in February 2026. Upon completion, students will undertake an evaluation test to assess their understanding and practical skills."
Students will be introduced to the R programming language and will learn to apply statistical methods through a hands-on approach using real data. The course will be delivered over 3/4 days in February 2026. Upon completion, students will undertake an evaluation test to assess their understanding and practical skills."
Undefined
Assessment methods
Giudizio di approvazione
Assessment result
superato/non superato
How to enrol
Deadlines
The course enrolment deadline is usually the 27th day of the month prior to the start date.
How to enrol
- Access enrolment on PhD courses online service using your University login details
- Select the desired programme and click on Registration (Iscrizione) and then on Register (Iscriviti)
Ignore the option "Exam session date” that appears during the enrolment procedure.
Contacts
For help please contact [email protected]
Professor(s)