Programplaner og emneplaner - Student
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
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- Programme description
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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.
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Required preliminary courses
The student must have been admitted to the study programme. The course is also offered as an individual course.
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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
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Teaching and learning methods
Work and teaching methods include lectures, seminars, group work and self-study.
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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
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Assessment
Exam content: The learning outcomes
Exam form: Individual written exam, 4 hours
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Permitted exam materials and equipment
None
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Grading scale
Grade scale A-F
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Examiners
An external and internal examiner will assess all exams