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 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 for autumn semester and February 1st for spring semester.

Other applicants apply for the right to study by June 1st for courses that are taught in the fall semester and December 1st for courses that are taught in the spring semester. Application is sent through Søknadsweb. Please use the application code "9301 - Singular courses at the PhD level". If granted admission to the course students have to register for class and exam in Studentweb by September 1st for autumn semester and February 1st for spring semester.

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.

The date for the exam can be changed. The final date will be announced at your faculty early in May and early in November.