HMET4101 – Fundamentals of statistics

The course will provide an introduction to scientific methods, study designs and practical work regarding the analysis of data. Furthermore it will give a thorough description of linear regression modelling, starting from the basics of measuring correlation and simple linear regression.

In the later part of the course multiple regression and use of dummy variables will be covered, and problems related to interactions and confounding will be discussed. We will use computer exercises in the course. The purpose of the course is the provide the students fundamental skills in statistics which are necessary for later courses and/or own research.

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:

Health Economics, Policy and Management (master)

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.