Statistical Methods in Medical Research 1 (TN505)

Repetition of basic probability theory and important probability distributions. Graphical presentations. Use of software. Basic epidemiological quantities and briefly about clinical trials. Statistical theory for estimation, confidence intervals and hypothesis testing. Analysis of two independent samples and of paired data. Regression analysis and introduction to variance analysis. Statistical pitfalls.


Course description for study year 2024-2025

Facts

Course code

TN505

Version

1

Credits (ECTS)

5

Semester tution start

Spring, Autumn

Number of semesters

1

Exam semester

Spring, Autumn

Language of instruction

Norwegian

Content

Repetition of basic probability theory and important probability distributions. Graphical presentations. Use of software. Basic epidemiological quantities and briefly about clinical trials. Statistical theory for estimation, confidence intervals and hypothesis testing. Analysis of two independent samples and of paired data. Sample size calculations. Regression analysis and introduction to variance analysis. Statistical pitfalls.

Learning outcome

After having taken this subject one can use basic statistical methods to analyse data. One shall know how to perform the analyses in relevant software, and know which methods are relevant to apply in different situations and how to check their assumptions.

Required prerequisite knowledge

None

Recommended prerequisites

An introduction to statistics.

Exam

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

Course teacher(s)

Course coordinator:

Jan Terje Kvaløy

Course teacher:

Ingvild Dalen

Course teacher:

Bjørn Henrik Auestad

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 1 (TN907_1) 5

Open for

Open for PhD candidates with background in medicine and health science. PhD candidates with a background such as master's in technology, civil engineering or other natural science backgrounds which include courses in statistics, are not eligible to take the exam.

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

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