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Postgraduate course

Statistical Methods in Health Science

Level of Study

Master track

Teaching semester

Fall

Objectives 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 student can:

  • Understand the basic principles for use of quantitative research methods.

 

Skills

After completing the course, the student can:

  • explain basic descriptive measures
  • 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 student can:

  • show critical reflection in the use of methods and methodological problems in written texts.

Required Previous Knowledge

Bachelor degree

Credit Reduction due to Course Overlap

Complete overlap with MEDSTA

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

Grading Scale

Pass/Fail

Subject Overlap

MEDSTA, MEDSTAT1A and ODO-STAT1-B

Assessment Semester

Fall

Course Evaluation

Oral evaluation by student representatives

Programme Committee

The course is part of several master-level programmes at The Faculty of Medicine.

The academic group for medical statistics is responsible for the quality of the course.

Course Coordinator

Trond Riise. http://www.uib.no/en/persons/Trond.Riise

Course Administrator

Faculty of Medicine, Department of Global Public Health and Primary Care

Contact

Contact Information

Department of Global Public Health and Primary Care.

e-mail: studie@igs.uib.no

tel: 55586100

Exam information

  • Type of assessment: Take-home examination

    Withdrawal deadline
    01.09.2018
    Examination system
    Inspera
    Digital exam