SITK18007E Exam in Register Based Epidemiology
Volume 2018/2019
Education
Master in Innovation in Health Care
Remarks
For information about
student work load during the course: please see the course
desciption for "Course in Public Health
Informatics".
Workload
- Category
- Hours
- Exam
- 5
- Total
- 5
Sign up
Students that are registered in the course will be registered for the exam automatically
Exam
- Credit
- 4,5 ECTS
- Type of assessment
- Written examination, 5 hours under invigilationWritten eksam consists of a number of questions which can be answered by using data sets provided at the time of exam. Questions are answered during the 5 hour exam by programminug in statistical software Stata.
- Exam registration requirements
Approved course attestation from the course "Course in Public Health Informatics
- Aid
- All aids allowed
All help/material (course material on USB) is allowed, but not devices that allow for external communication (mobile phones, internet acces to messenger, etc.).
- Marking scale
- 7-point grading scale
- Censorship form
- No external censorship
Criteria for exam assesment
To get the highest grade, student should illutsrate:
- explain the content and structure of the data in the selected Danish health registers
- explain different disease classification systems used in Danish registers
- explain the quality indicators and validty of register data and can explain the methods for evaluation of validty
- explain the use of registers for both administrative and research purposes
- explain how collected register data can be used as quality, process and result indicators
- perform editing of raw register data in format suitable for statistical analyses in Stata
- perform analyses of register data in Stata and calculate person-years, mortality rates, prevalence and incidence rates
- explain application of register data in descriptive and analytical epidemiology
- explain under which circumstances data can be used in informing the citizens
- explain the balance between detail and 'noise' in data (missclasification and statistical variation) i registers
- explain the quality indicators and validty of register data and can explain the methods for evaluation of validty
Course information
- Language
- Danish
- Course code
- SITK18007E
- Credit
- 4,5 ECTS
- Level
- Full Degree Master
- Duration
- Placement
- Autumn
The course takes place from week 43 to 51.
- Study board
- The Study Board for Health Informatics
Contracting department
- Department of Public Health
Contracting faculty
- Faculty of Health and Medical Sciences
Course Coordinators
- Zorana Jovanovic Andersen (vlq961@sund.ku.dk)
Saved on the
25-04-2018