## 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.

## 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:

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

## 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.

English

## Teaching methods

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 module is open for exchange students with a 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 program in Public Health; epidemiology, health economics, biostatistics, health sociology, global- and environmental health.

## Examination

School exam 27.05.2024 09:00
6 Hours A–E, fail F

### Coursework requirements:

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

Assignment 1 Approved – not approved
Assignment 2 Approved – not approved
UiT Exams homepage

80% attendance on lectures and seminars is mandatory.

The students are required to hand in 2 home assignments in Canvas. One after the first gathering and the last one after second gathering.

## Re-sit examination

Re-sit examination is offered for the course.