HMET5130 – Linear Regression Analyses

Schedule, syllabus and examination date

Course content

This course gives a thorough description of linear regression modelling, starting from the basics of measuring correlation between two variables and simple linear regression. The course proceeds through multiple regression, the inclusion of dummy variables, and the problems of confounding and interactions. Model checking is also covered. Computer exercises will be used throughout the course. The aim of the course is to make students able to perform linear regression analyses in their own work.

Learning outcome

Knowledge

You will gain knowledge of:

  • Interpretation of linear regression models
  • Relationship between correlation and linear regression
  • Regression coefficients
  • Interpretation of interaction terms
  • The assumptions of linear regression analyses, identify violation of the assumptions and learn possible remedies for the violations

Skills

You will learn how to:

  • Perform linear regression analyses in practice, using software such as Stata
  • Check that assumptions of the model are fulfilled
  • Identify confounding variables and understand why they are confounders

General competence

You will be able to:

  • Perform linear regression analyses in your 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)

Teaching

Lectures

IMPORTANT: Offered last time FALL 2022: Students will be following parts of the lectures in HMET4101.  Pay attention to the information in Canvas for a detailed time table.

Exercises

Access to teaching

A student who has completed compulsory instruction and coursework and has had these approved, is not entitled to repeat that instruction and coursework. A student who has been admitted to a course, but who has not completed compulsory instruction and coursework or had these approved, is entitled to repeat that instruction and coursework, depending on available capacity.

Examination

 

Home exam (4 hours)

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.