HEL-8030 | UiT

Type of course

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

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.

Course overlap

If you pass the examination in this course, you will get an reduction in credits (as stated below), if you previously have passed the following courses:

HEL-8001 Multivariable Linear Regression Analysis and Analysis of Variance Including Repeated Measures Design 1.5 stp
HEL-8027 Regression Analysis 3 stp
PSY-8012 Regression analysis 3 stp
MED-8003 Regression analysis 1 stp
HEL-8047 Statistical models, conclusions and uncertainty for scientific data analysis 1 stp

Course content

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

Recommended prerequisites

HEL-8024 Quantitative Research Methods

Objectives 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 and examination

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.

Schedule

Se timeplan

Examination

Examination:	Grade scale:
Off campus exam	Passed / Not Passed

UiT Exams homepage

Re-sit examination

Re-sit examination are not offered in the course.

spring 2024 HEL-8030 Applied Linear Regression Analysis - 3 ECTS