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
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 should be conducted in all or selected groups of courses offered by the faculty. The purpose is to gather feedback from students for making changes and adjustments to the course during the current semester. In addition, a digital evaluation, students’ course evaluation, must be conducted at least once every three years. Its purpose is to collect students` experiences with the course.
