Statistical Methods in Health Science

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

Language of Instruction

English

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

Course Unit Evaluation

Oral evaluation by student representatives

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