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.

See course description and exam/assesment information for this semester (2024-2025)
Facts

Course code

TN510

Version

1

Credits (ECTS)

5

Semester tution start

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Number of semesters

1

Exam semester

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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, 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 Auestad

Course teacher:

Ingvild Dalen

Course coordinator:

Jan Terje Kvaløy

Head of Department:

Bjørn Henrik Auestad

Method 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.

Literature

Search for literature in Leganto