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:
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gain knowledge of different types of quantitative methods
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gain knowledge of different study designs
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gain knowledge of linear regression models and correlation
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gain knowledge of interpreting intercepts, coefficients and interactions
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gain knowledge of the fundamental assumptions underlying linear regression analysis
Skills:
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construct simple research projects
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use linear regression in R
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Check model assumptions
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Identify confounders, and understand why they are confounders
General competence:
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you will be able to critically consider choices that are made in small research projects
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you will be able to perform linear regression in your own work and research
Admission to the course
This course is only available for students at the following master programmes:
Health Economics, Policy and Management (master's two years)
European Master in Health Economics and Management (master's two years)
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.
Recommended previous knowledge
Recommended?prerequisite: HSTAT1101 or comparable introductory courses in statistics.
Overlapping courses
- 5 credits overlap with HMM4101 – Research methods and statistics (discontinued).
- 5 credits overlap with HMET5130 – Linear Regression Analyses (discontinued).
- 5 credits overlap with HMET4100 – Fundamentals of statistics (discontinued).
Teaching
Lectures and exercises in a computer lab.
Examination
Individual written exam
Examination and grading at The Faculty of Medicine.
Examination support material
A web based calculator will be available for use in Inspera.
All written and printed material.
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.
Resit an examination
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.
More about examinations at UiO
- Use of sources and citations
- Special exam arrangements due to individual needs
- Withdrawal from an exam
- Illness at exams / postponed exams
- Explanation of grades and appeals
- Resitting an exam
- Cheating/attempted cheating
You will find further guides and resources at the web page on examinations at UiO.