Statistical Methods in Medical Research 2 (TN510)
Topics in statistics like linear mixed models, analysis of variance, logistic regressioin and survival analysis, including Cox regression.
Course description for study year 2025-2026. Please note that changes may occur.
Facts
Course code
TN510
Version
1
Credits (ECTS)
5
Semester tution start
By agreement
Number of semesters
1
Exam semester
By agreement
Language of instruction
Norwegian
Content
Topics in statistics like linear mixed models, analysis of variance, logistic regressioin and survival analysis, including Cox regression. How to read and present statistical research results.Use of relevant software.
Learning outcome
After having completed this course one should be able to use statistical methods like linear mixed models, analysis of variance, logistic regression and basic methods in survival analysis to analyse data. One shall know how the analyses are conducted in relevant software, know which methods that are relevant to use in different situations, be able to interpret results and to evaluate the assumptions which the analyses are based upon.
Required prerequisite knowledge
None
Exam
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Home exam | 1/1 | 2 Weeks | Passed / Not Passed |
Individual home exam
Course teacher(s)
Course teacher:
Bjørn Henrik AuestadCourse teacher:
Ingvild DalenCourse coordinator:
Jan Terje KvaløyHead of Department:
Bjørn Henrik AuestadMethod of work
Lectures, exercise work and self study.
The course is given when there is capacity and interest.
Overlapping courses
| Course | Reduction (SP) |
|---|---|
| Statistical Methods in Medical Research 2 (TN908_1) | 5 |
Open for
PhD candidates in medicine and health science. Others can be considered after application.
Admission requirements
Must meet the admission requirements of one of the study programmes the course is open for.
Course assessment
The faculty decides whether early dialogue will be held in all courses or in selected groups of courses. The aim is to collect student feedback for improvements during the semester. In addition, a digital course evaluation must be conducted at least every three years to gather students’ experiences.