spring 2023
HEL-8002 Logistic Regression and Statistical Analysis of Survival Data - 3 ECTS

Application deadline

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 PhD level".

Type of course

PhD Course. This 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.

Admission recommendations:

Introductory course in medical statistics. It is recommended that students who are planning to take HEL-8024 complete it before taking this course.

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:

MED-8002 Statistical analysis of survival data 1 stp
MED-8004 Logistic regression 1 stp

Course content

Two main topics are covered:

  • Simple, multiple and stepwise logistic regression, matched case-control studies, and ordinal logistic regression
  • Methods for analysis of survival data. Includes the Kaplan-Meier survival estimator, the log rank test, and Cox's Proportional Hazard regression model.

Objectives of the course

Having attended the course and completed the exam the students will obtain the following learning outcomes:

Knowledge and understanding:

  • Know how to specify a logistic regression model and a Cox proportional hazard regression model.
  • Understand the difference between binary and ordinal logistic regression models.
  • Understand when it is proper to use a logistic regression model.
  • Understand when it is proper to use analysis of survival data.
  • Interpret results from logistic regression models and analysis of survival data (Kaplan-Meier survival estimate, Cox regression models)


  • Be able to use a statistical package to analyse data using logistic regression models and models for the analysis of survival data (Kaplan-Meier survival function, log rank test, and Cox proportional hazard regression model).
  • Identify different types of explanatory variables and correctly implement them in a logistic or Cox regression model.
  • Be able to test interaction and assess confounding in logistic and Cox regression models.
  • Evaluate the model assumptions

General Competence:

  • Evaluate results from publications in medical journals where logistic models or Cox regression models are applied.
  • Critically assess the validity of its use.

Language of instruction and examination


Teaching methods

The course consists of lectures, student exercises with the use of a statistical package and review of exercises. The course uses STATA software to demonstrate implementation and solution of exercises. For those who prefer other programs, solution syntax in SPSS, R or SAS will be provided upon request.


Examination: Date: Grade scale:
Off campus exam 28.04.2023 16:00 (Hand out)
12.05.2023 12:00 (Hand in)
Passed / Not Passed

Coursework requirements:

To take an examination, the student must have passed the following coursework requirements:

Attendance to lectures and seminars Approved – not approved
UiT Exams homepage

More info about the coursework requirements

Compulsory participation in at least 80% of lectures and seminars.

Re-sit examination

Re-sit examination are not offered in the course.
  • About the course
  • Campus: Tromsø |
  • ECTS: 3
  • Course code: HEL-8002
  • Tidligere år og semester for dette emnet