EPN-V2

MABIOD4600 Statistics, Quality Control and Quality Assurance Course description

Course name in Norwegian
Statistikk, kvalitetskontroll og kvalitetssikring
Weight
10.0 ECTS
Year of study
2020/2021
Course history
  • Introduction

    The course deals with statistical tools used in biomedical research, method development and method validation at medical laboratories. The course also comprises quality assurance systems for such laboratories.

  • Required preliminary courses

    The student must have been admitted to the study programme. The course is also offered as an individual course.

  • Learning outcomes

    After completing the course, the student is expected to have achieved the following learning outcomes defined in terms of knowledge, skills and competence:

    Knowledge

    The student

    • has advanced knowledge of the selection and use of statistical methods in research and method validation
    • has in-depth knowledge of systems and procedures for monitoring quality and quality assurance of analysis processes
    • is capable of describing systems and processes related to the accreditation and certification of medical laboratories
    • has advanced knowledge of the assessments that form the basis for the establishment of a reference area
    • has advanced knowledge of how analysis methods’ specificity, sensitivity and test accuracy are decided and evaluated
    • is capable of explaining the concepts predictive value, odds ratio, and ROC curves
    • is capable of explaining the laws and regulations that regulate medical laboratory activities
    • has advanced knowledge of how to carry out durability tests of sample material
    • has advanced knowledge of analytical variation in terms of repeatability and reproducibility

    Skills

    The student is capable of

    • applying statistical methods and tools, such as table analysis, variance analysis, correlation, and simple and multiple, linear and logistic regression
    • carrying out and explaining hypothesis testing, parametric and non-parametric methods, as well as correlation and regression analysis
    • using one and two-way variance analysis for repeated measurements
    • assessing and discussing the importance of pre-analytical, analytical, and post-analytical sources of error related to the result/quality of the analysis
    • choosing and applying statistical methods used to quality assure medical laboratories
    • planning and carrying out comparisons of analysis methods and assessing measures

    Competence

    The student is capable of

    • discussing and analysing relevant issues and actively contribute to the execution of advanced work tasks related to quality control and quality assurance in laboratories
  • Teaching and learning methods

    Work and teaching methods include lectures, seminars, group work and self-study.

  • Course requirements

    The following required coursework must be approved before the student can take the exam:

    • presentation of an assignment in groups of 3-5 students
  • Assessment

    Exam content: The learning outcomes

    Exam form: Individual written exam, 4 hours

  • Permitted exam materials and equipment

    None

  • Grading scale

    Grade scale A-F

  • Examiners

    An external and internal examiner will assess all exams