spring 2022
HEL-3070 Biostatistics II - 10 ECTS

Last changed 16.08.2022

Application deadline

Applicants from Nordic countries: 1 June for the autumn semester and 1 December for the spring semester. Applicants from outside the Nordic countries: 1 October for the spring semester and 15 April for the autumn semester.

Type of course

This course is a mandatory course for students at the Master's degree programme in Public Health. Course students may be admitted if total number of students do not exceed the regulated 30 number of students at the course.

Admission requirements

Bachelor's degree (180 ECTS credits) in Health Sciences, Social Sciences or Natural Sciences, or equivalent qualification. For students who hold a Bachelor's degree in Social Sciences or Natural Sciences, the degree must contain a minimum 80 ECTS (or equivalent) within the fields specific to the Master's degree programme in Public Health; epidemiology, health economics, biostatistics, health sociology, global- and environmental health.

Application Code: 9371

Course overlap

Du vil få en reduksjon i antall studiepoeng (som oppgitt under), dersom du avlegger eksamen i dette emnet og har bestått følgende emne(r) fra før av:

STA-1002 Probability and statistics 2 2.5 stp
STA-3300 Applied Statistics 2 2.5 stp
MED-8001 Analysis of variance including repeated measurements 1 stp
MED-8001 Analysis of variance including repeated measurements 2.5 stp
MED-8002 Statistical analysis of survival data 2.5 stp
MED-8002 Statistical analysis of survival data 1 stp
MED-8003 Regression analysis 1 stp
MED-8003 Regression analysis 2.5 stp
MED-8004 Logistic regression 2.5 stp
MED-8004 Logistic regression 1 stp
HEL-3070 Biostatistics 10 stp
HEL-3624 Biostatistics 10 stp
STA-2004 Statistical Methods 2.5 stp

Course content

The course will focus on four different methods (analysis of variance including repeated measurements, regression analysis, logistic regression analysis and survival analysis); using SPSS

Recommended prerequisites

HEL-3006 Introduction to Epidemiology and Biostatistics

Objectives of the course

The course will teach the students statistical methods of analysis commonly used in clinical and epidemiological research. The students shall be able to:

Knowledge and understanding

- Analyse data using the methods multivariable linear regression, logistic regression, and analysis of survival data

Skills and competences

  • Prepare a set of raw data for statistical analysis
  • Provide relevant descriptive statistics corresponding to the selected model of analysis
  • Identify different types of explanatory variables and correctly implement them in a regression model
  • Select the correct analysis method to study the relationship between one or more explanatory variables on one response variable

General Proficiency

  • Master commonly used regression analyses methods in clinical and epidemiological research
  • Differentiate between the effect sizes from the various regression models and interpret the results
  • Evaluate the model assumptions of the regression models
  • Evaluate results from publications in journals where the different regression models are applied, and critically assess the validity of its use.

Language of instruction and examination


Teaching methods

There are three mandatory student-gatherings, where each of them lasts one week. Lectures are combined with analysing sets of data using SPSS. Attendance to lectures and seminars is mandatory. The lectures will be given in English.

Information to incoming exchange students

This course is open for inbound exchange students.

Do you have questions about this module? Please check the following website to contact the course coordinator for exchange students at the faculty: INBOUND STUDENT MOBILITY: COURSE COORDINATORS AT THE FACULTIES | UiT


Assignments: The students have to pass two written home assignments before they are allowed to take the exam. The assignments are individual exercises, and will be graded as approved or not approved.

Exam: The final exam is a 6 hour written university-based exam. The student can write the assignments and exam in Norwegian, Swedish, Danish or English. Grading scale: A-E equals passed, F equals failed.

If a student fails the course, an examination re-sit will be organised. Students with valid absence from the exam will be offered a re-scheduled examination.


Recommended reading/syllabus

Pensumliste for HEL-3070 Biostatistics II
  • About the course
  • Campus: Tromsø |
  • ECTS: 10
  • Course code: HEL-3070
  • Tidligere år og semester for dette emnet