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 2025-2026

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

Course code

TN505

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

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 medical 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

Individual home exam

Course teacher(s)

Course coordinator:

Jan Terje Kvaløy

Course teacher:

Ingvild Dalen

Head of Department:

Bjørn Henrik Auestad

Method of work

Lectures, exercises work and self study. 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.  

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

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