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 2024-2025. Please note that changes may occur.

Facts

Course code

TN510

Version

1

Credits (ECTS)

5

Semester tution start

Autumn

Number of semesters

1

Exam semester

Spring, Autumn

Language of instruction

Norwegian

Offered by

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, and one shall know which methods that are relevant to use in different situations.

Required prerequisite knowledge

None

Exam

Form of assessment Weight Duration Marks Aid
Home exam 1/1 2 Weeks Passed / Not Passed

Course teacher(s)

Course teacher:

Bjørn Henrik Auestad

Course teacher:

Ingvild Dalen

Course coordinator:

Jan Terje Kvaløy

Head of Department:

Bjørn Henrik Auestad

Method of work

Lectures and exercises.

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.

Course assessment

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 subject evaluation must be carried out at least every three years. Its purpose is to gather the students experiences with the course.

Literature

Search for literature in Leganto