Statistical Methods in Health Science
Level of Study
Objectives and Content
The course will give an introduction to fundamental statistical principles and methods with application to health-related research.
- 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
After completing the course, the students should:
Understand the basic principles for use of quantitative research methods.
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
After completing the course, the students should
- show critical reflection in the use of methods and methodological problems in written texts.
Required Previous Knowledge
Teaching Methods and Extent of Organized Teaching
Includes 20 hours of lectures.
A total of 6 hours of group work with supervision
Compulsory Assignments and Attendance
Approved group assignment
Forms of Assessment
Take home exam 5 days
MEDSTA, MEDSTAT1A and ODO-STAT1-B
Oral evaluation by student representatives