Statistical Methods in Health Science
Study facts
| Course code | HELSTA |
| ECTS credits | 5 |
| Teaching semester | Autumn |
| Teaching language | English |
| Study level | Postgraduate Courses |
| Number of semesters | 1 |
| Resources | |
| Belongs to | Department of Global Public Health and Primary Care |
Contact
Contact Information
Department of Global Public Health and Primary Care.
e-mail: studie@isf.uib.no
tel: 55586100
Course coordinator: Trond Riise, http://www.uib.no/persons/Trond.Riise
Aim and Content
Main objectives:
The course will give an introduction to fundamental statistical principles and methods with application to health-related research.
. Contents:
- Methods for reporting and summarizing data using tables and graphs, reporting numbers and descriptive statistics for continuous data.
- Basic distribution: Normal (Gaussian) distribution and the Binomial distribution.
- Terms in statistical inference: Sample and population, hypothesis, hypothesis test, test-observator, level of significance, p-value and confidence interval.
- Calculations of statistical power and samp
Learning Outcomes
Knowledge
After completing the course, the students should:
Understand the basic principles for use of quantitative research methods.
Skills
After completing the course, the students should be able to:
- explain basic descriptive measures
- show that they understand the conditions for generalizing results, and the principle for statistic tests
- decide which analyses and tests that should be used in common study designs
General competence:
After completing the course, the students should
- show critical reflection in the use of methods and methodological problems in written texts.
Course offered (semester)
Fall
Course Unit Level
Master track
Pre-requirements
Bachelor degree
Subject Overlap
MEDSTA, MEDSTAT1A and ODO-STAT1-B
Teaching Methods
Includes 20 hours of lectures.
A total of 6 hours of group work with supervision
Compulsory Requirements
Approved group assignment
Assessment methods
Take home exam 5 days
Grading Scale
Pass/Fail
Course Unit Evaluation
Oral evaluation by student representatives