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. Please note that changes may occur.
Facts
Course code
TN505
Version
1
Credits (ECTS)
5
Semester tution start
By agreement
Number of semesters
1
Exam semester
By agreement
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 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 KvaløyCourse teacher:
Ingvild DalenCourse teacher:
Bjørn Henrik AuestadHead of Department:
Bjørn Henrik AuestadMethod 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.