Vår 2020

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

MED-8003 Regression analysis 1 stp

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:

Model selection procedures
Interaction and confounding
Regression diagnostics
Transformation of variables
Fractional polynomial regression
Regression splines
Power analysis
Implementation of these techniques in statistical software packages

Application deadline

PhD students and students at Student Research program at UiT The Arctic University of Norway go directly to Studentweb to register for class and exam by 1 February.

Other applicants: Application deadline is 1 December. Application code 9303 in Søknadsweb.

If granted admission to the course you have to register for class and exam in Studentweb by 1 February.

Admission requirements

PhD students, students at a Student Research Program or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) may be admitted.

PhD students not admitted to UiT The Arctic University of Norway must upload a document from their university stating that there are registered PhD students. This group of applicants does not have to prove English proficiency and are exempt from semester fee.

Holders of a Master´s degree must upload a Master´s Diploma with Diploma Supplement / English translation of the diploma. Applicants from listed countries must document proficiency in English.

Objective of the course

After taking the course, the students should

know about

the general linear model, its assumptions and applications
the concept of model selection and significance testing
how a power analysis can be usefully applied

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.
calculate power and sample size in linear models

have the general ability to

evaluate results from publications in medical/psychological journals where linear regression models are applied, and critically assess the validity of their use.

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.

Assessment

Written assignment (10-20 pages) to be submitted. Evaluated as passed / failed.

The course is held annually. There will not be arranged a re-sit exam for this course.

Date for examination

Written assignment hand in date 27.03.2020

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