Course
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.
Dette er emnebeskrivelsen for studieåret 2025-2026
Fakta
Emnekode
TN505
Vekting (stp)
5
Semester undervisningsstart
Autumn
Undervisningsspråk
Norwegian
Antall semestre
1
Vurderingssemester
Autumn
Timeplan
Litteratur
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.
Forkunnskapskrav
Ingen
Anbefalte forkunnskaper
An introduction to statistics.
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, exercises work and self study. The course is given when there is capacity and interest.
Overlapping
| Emne | Reduksjon (SP) |
|---|---|
| Statistical Methods in Medical Research 1 (TN505_1) , Statistical Methods in Medical Research 1 (TN907_1) | 5 |
Åpent 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.
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
