HMET4101 – Fundamentals of statistics
Course description
Course content
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.
Learning outcome
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 STATA
- 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
Admission
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.
Overlapping courses
- 5 credits overlap with HMM4101 – Research methods and statistics (discontinued)
- 5 credits overlap with HMET4100 – Fundamentals of statistics (discontinued)
- 5 credits overlap with HMET5130 – Linear Regression Analyses (discontinued)
Teaching
Lectures and exercises in a computer lab
Examination
Individual written exam
Grading
The Board at the University of Oslo has decided to introduce detailed guidelines for all examinations, which take place at the University. The description of the grading should be clear and transparent. This is done to ensure alignment between learning outcomes, assignments, and grading. The Faculty of Medicine has developed a web page with information regarding exams and the grading procedures (norwegian version).
Digital examination
The written examination is conducted in the digital examination system Inspera. You will need to familiarize yourself with the digital examination arrangements in Inspera.
Read more about written examinations using Inspera.
Examination support material
All written and printed material, and approved calculator Citizen SR-270X (College), Citizen SR270X BTSPU, TI-30X IIS, or Casio FX-82MS).
A web based calculator will be available for use in Inspera.
Use of sources and citation
You should familiarize yourself with the rules that apply to the use of sources and citations. If you violate the rules, you may be suspected of cheating/attempted cheating.
Language of examination
You may write your examination paper in Norwegian, Swedish, Danish or English.
Grading scale
Grades are awarded on a scale from A to F, where A is the best grade and F is a fail. Read more about the grading system.
Explanations and appeals
Resit an examination
For HEPMA students:
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.
Withdrawal from an examination
It is possible to take the exam up to 3 times. If you withdraw from the exam after the deadline or during the exam, this will be counted as an examination attempt.
Special examination arrangements
Application form, deadline and requirements for special examination arrangements.
Evaluation
The course is subject to continuous evaluation. At regular intervals we also ask students to participate in a more comprehensive evaluation.