Course Information
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3 ECTS
2026-05-31
Other Courses
English
16
2026
Biostatistics 2
Course Leader
Lars Lindhagen
Department
Department of Statistics
Weeks
Week 40 (September 28 - October 2) + October 9 and 16
Location
Ekonomikum
Duration
1 week full time + 2 weeks half-time (project work)
Description
The aim of the course is to broaden and deepen the knowledge provided by the compulsory introductory biostatistics course. The course is primarily directed towards students with clinical projects, but can be relevant also for other students. Several topics are covered, with a focus on understanding notions and methods. Theoretical lectures are mixed with seminars in the form of journal clubs and R sessions. After one week of full-time teaching, the students perform a project work.
Learning Outcomes
After the course, the participants are expected to: Have a basic understanding of the mathematical foundations of statistics. Be familiar with advanced statistical methods often used in clinical research: propensity score methods, prediction models, handling of missing data, and methods for genetic data. Have a basic knowledge of causality and definitions of treatment effects. Be able to critically discuss clinical research results from a method perspective. Be able to perform basic statistical analyses in R, including ordinal, count, and survival outcomes, as well as clustered data.
Content
Maximum likelihood and the bootstrap. Propensity scores. Methods for clustered data, count, ordinal and survival data. Multiplicity. Prediction models. Treatment effects. Handling of missing data. Statistical genetics. Register data. Agreement.
Instructions
The language of this course is ENGLISH.
In order to be eligible for the course, you need to be admitted to third-cycle education in the Disciplinary Domain of Medicine and Pharmacy, and have statistics knowledge corresponding to the introductory course in biostatistics. Basic knowledge about R can be useful, but is no formal requirement.
In order to be eligible for the course, you need to be admitted to third-cycle education in the Disciplinary Domain of Medicine and Pharmacy, and have statistics knowledge corresponding to the introductory course in biostatistics. Basic knowledge about R can be useful, but is no formal requirement.
Examination
Attendance at ALL scheduled activities, active participation in seminars, quiz, and a written and orally presented project work.
Literature
Current scholarly articles as specifically directed.
Teachers
Lars Lindhagen
Albert Nilsson
Henrik Renlund
Johan Lindbäck
Johan Westerbergh
Niclas Eriksson
Ollie Östlund
Tatevik Lakic
Albert Nilsson
Henrik Renlund
Johan Lindbäck
Johan Westerbergh
Niclas Eriksson
Ollie Östlund
Tatevik Lakic
Contact
Lars Lindhagen
Uppsala Clinical Research Center (UCR)
Uppsala Science Park
751 85 Uppsala
Tel 018-611 9549
E-mail: lars.lindhagen@ucr.uu.se
Uppsala Clinical Research Center (UCR)
Uppsala Science Park
751 85 Uppsala
Tel 018-611 9549
E-mail: lars.lindhagen@ucr.uu.se