Fundamentals of statistics

Knowledge

You will:

• gain knowledge of different types of quantitative methods
• gain knowledge of different study designs
• gain knowledge of linear regression models and correlation
• gain knowledge of interpreting intercepts, coefficients and interactions
• gain knowledge of the fundamental assumptions underlying linear regression analysis

Skills:

• construct simple research projects
• use linear regression in R
• check model assumptions
• identify confounders, and understand why they are confounders

General competence:

• you will be able to critically consider choices that are made in small research projects
• you will be able to perform linear regression in your own work and research

This course is only available for students at the following master programmes:

MFM2-HEPAM

Students who are admitted to study programmes at UiO must each semester register which courses and exams they wish to sign up for in Studentweb.

If you are not already enrolled as a student at UiO, please see our information about admission requirements and procedures.

Individual written exam

Examination and grading at The Faculty of Medicine.

A web based calculator will be available for use in Inspera.

All written and printed material.

For Eu-HEM students:

An EU-hem student cannot present her or himself for the examination in a course more than two times. There will be held re-sits for EU-hem students who have failed an exam or who have legitimate absence (usually illness) in January and August. If you are entitled to a re-sit you must contact the student advisor via email no longer than one week after the result of the exam has been published.