Vår 2024

HEL-8030 Applied Linear Regression Analysis - 3 stp

The course is administrated by

Institutt for samfunnsmedisin

Type of course

PhD Course. The course is available as a singular course.

Course overlap

HEL-8047 Statistical models, conclusions and uncertainty for scientific data analysis 1 ects

Course contents

The course includes correlation as well as simple and multiple linear regression analysis, with application to medical and psychological areas.

In particular, the following topics are being covered:

• Variable selection and model building

• Moderation and mediation - interaction and confounding

• Regression diagnostics

• Transformation of variables

• Nonlinear regression analysis

• Implementation of these techniques in statistical software packages

Admission requirements

PhD students and students at the Student Research Programme, or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) may be admitted. External PhD students and students at other Student Research Programmes, must upload a document from their university stating that they are registered students.

Objective of the course

After taking the course, the students should know about:

• The general linear model, its assumptions and applications

• How to build the best model

be able to:

• Identify different types of explanatory variables and correctly implement them in a linear regression model.

• Select the most appropriate model to study the relationship between one or more explanatory variables and one continuous response variable.

• Assess interaction and confounding variables.

• Interpret the results from linear regression models.

• Evaluate whether the assumptions of the regression models are fulfilled.

Language of instruction

English

Teaching methods

The program contains lectures, exercises with the use of PC, and review of the exercises using the software packages R, SPSS and STATA.