Course code: HEL-8030

Applied Linear Regression Analysis

Se how you can apply

Apply between November 1 and January 6

Campus Tromsø

Semester / Year Spring 2024

Level Doktorgrad

Credits 3

NOTE! This course belongs to a previous semester/year

About the course

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

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.

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.

Prerequisites

Anbefalte forkunnskaper

HEL-8024 Quantitative Research Methods

Credit reduction

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 ects
HEL-8027 Regression Analysis 3 ects
PSY-8012 Regression analysis 3 ects
MED-8003 Regression analysis 1 ects
HEL-8047 Statistical models, conclusions and uncertainty for scientific data analysis 1 ects

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.

Language of instruction and examination

English

Examination

Exams

Off campus exam

Hand in: 22.03.2024 14:00 Hand out: 08.03.2024 17:00

Grade:
Passed / Not Passed

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