Course
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.
Dette er emnebeskrivelsen for studieåret 2025-2026
Fakta
Emnekode
TN510
Vekting (stp)
5
Semester undervisningsstart
Autumn
Undervisningsspråk
Norwegian
Antall semestre
1
Vurderingssemester
Autumn
Timeplan
Litteratur
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.
Forkunnskapskrav
Ingen
Exam
| Form of assessment | Weight | Duration | Marks | Aid |
|---|---|---|---|---|
| Home exam | 1/1 | 2 Weeks | Passed / Not Passed |
Individual home exam
Fagperson(er)
Course teacher:
Bjørn Henrik AuestadHead of Department:
Bjørn Henrik AuestadCourse coordinator:
Jan Terje KvaløyCourse teacher:
Ingvild DalenMethod of work
Lectures, exercise work and self study.
The course is given when there is capacity and interest.
Overlapping
| Emne | Reduksjon (SP) |
|---|---|
| Statistical Methods in Medical Research 2 (TN510_1) , Statistical Methods in Medical Research 2 (TN908_1) | 5 |
Åpent for
PhD candidates in medicine and health science. Others can be considered after application.
Emneevaluering
There must be an early dialogue between the course supervisor, the student union representative and the students. The purpose is feedback from the students for changes and adjustments in the course for the current semester.In addition, a digital course evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.
The course description is retrieved from FS (Felles studentsystem). Version 1
