Graduate School of health and Medical Sciences

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Biostatistics for experimental medical researchers
Provider: Faculty of Health and Medical Sciences

Activity no.: 3325-26-00-00	There are 20 available seats
	Enrollment deadline: 12/10/2026

Date and time	11.11.2026, at: 08:00 - 25.11.2026, at: 12:00
Regular seats	30
Course fee	3,360.00 kr.
Lecturers	Anders Munch
ECTS credits	3.00

Contact person	Susanne Kragskov Laupstad E-mail address: skl@sund.ku.dk

Enrolment Handling/Course Organiser	PhD administration SUND E-mail address: phdkursus@sund.ku.dk

Enrolment guidelines This is a generic course. This means that the course is reserved for PhD students at the Graduate School of Health and Medical Sciences at UCPH. Anyone can apply for the course, but if you are not a PhD student at the Graduate School, you will be placed on the waiting list until enrollment deadline. After the enrolment deadline, available seats will be allocated to the waiting list. The course is free of charge for PhD students at Danish universities (except Copenhagen Business School), and for PhD students at NorDoc member faculties. All other participants must pay the course fee. Aim This five-day course on biostatistics aims at Ph.D. students in biomedical research who work in a laboratory or similar setting, performing experiments on e.g., cells, tissues, mice, or humans. When participating in this course, you will get a working knowledge of statistical concepts, methods of analysis, and adequate ways of presenting statistical results, as well as hands on experience in analysing experimental data with R statistical software. We will also explain some of the most common pitfalls in the statistical analysis of biomedical research data. In summary, we aim at teaching you high-quality biostatistics suitable for research publications. Learning objectives A student who has met the objectives of the course will be able to: 1. Have a qualified discussion with a statistical consultant, e.g., on how to plan the analyses for a research project or how to answer the concerns raised by a reviewer. 2. Interpret statistical information from research papers and discuss assumptions and limitations. 3. Distinguish between descriptive statistics and statistical inference (effect estimates, confidence intervals and p-values). 4. Apply basic statistical analyses to experimental data using the statistical software R. 5. Present statistical results in figures, tables, and words. Content Day 1: Data, descriptive statistics, statistical inference Day 2: Testing statistical hypotheses, sample size and power calculation Day 3: ANOVA and regression Day 4: Repeated measurements Day 5: Case study Statistical software We will be working with the open source statistical software R using the interface R Studio. To participate in the course you must bring your own laptop with R and R Studio installed. Prerequisites Familiarity with R programming is necessary for taking part in the exercise classes. We recommend the PhD course: Introduction to R for basic statistics which runs just before this course starts. Participants Ph.D.-students. In case of vacant seats also other medical researchers. Max. 30 participants. Relevance to graduate programmes The course is relevant to PhD students from the following graduate programmes at the Graduate School of Health and Medical Sciences, UCPH: All graduate programmes Language English Form The course includes lectures and computer exercises (please bring your own laptop) that demonstrate both the implementation and interpretation of key concepts. In addition, students are expected to engage in self-study and complete mandatory online home assignments (quizzes) via Absalon, the University of Copenhagen’s teaching platform, where discussion threads provide support. Exercises are based on the statistical software R. Active participation through homework and preparation is required, and successful completion of all online assignments is necessary to pass the course. Course director Anders Munch, Section of Biostatistics Teachers Other members of staff, Section of Biostatistics Anders Munch, Section of Biostatistics Dates 11, 16, 18, 23, 25 November 2026, all days 8-12. Online homework assignments between these dates. Course location CSS Registration: Please register before 12 October 2026 Seats to PhD students from other Danish universities will be allocated on a first-come, first-served basis and according to the applicable rules. Applications from other participants will be considered after the last day of enrollment.

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