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Vår 2017

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:

Application deadline

External applicants: Application deadline is 1 December for Spring semester and 1 June for Autumn semester. Application code 9303 in Søknadsweb.

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

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

Admission requirements

PhD students, master students at a Medical Student Research Program, or holders of a Norwegian master´s degree of five years or 3+ 2 years (or equivalent) may be admitted. Valid documentation is a statement from your institution that you are a registered PhD student or master student at a Medical Student Research Program, or a Master´s Diploma with Diploma Supplement / English translation of the diploma. PhD students are exempt from semester fee.

For information about how to apply for admission, go to:

Objective of the course

After taking the course, the students should

know about

be able to

have the general ability to

Language of instruction


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.


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.

Recommended reading/syllabus

Recommended literature:

Kleinbaum, Kupper, Nizam & Rosenberg: Applied Regression Analysis and Other Multivariable Methods. Duxbury (2013), fifth edition

Andy Field: Discovering Statistics Using IBM SPSS Statistics. Sage (2013), fourth edition

Field, Miles, Field: Discovering Statistics Using R. Sage (2012)