HEL-8030 Applied Linear Regression Analysis - 3 stp

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

PhD course. It is available as a singular course.

PhD students and students at the Student Research Program at UiT The Arctic University of Norway register for class and exam in Studentweb by September 1st.

Other applicants apply for the right to study by June 1st. Application is sent through SøknadsWeb. Please use the application code "9301 - Singular courses at the PhD level". If granted admission to the course students must register for class and exam in Studentweb by September 1st.

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.

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.