Course leader: Jakob Hjort
Graduate school: Faculty of Health
Course fee: 720.00 DKK
Status: Course is open for application
Semester: Fall 2023
Application deadline: 27/07/2023
Start date: 24/08/2023
Administrator: Anne Fabricius
This is a duplicate course
Please do not sign up for more than one course. If you are available to participate in more than one of the duplicated courses, please indicate in your primary course registration (in the comment box) which course(s) you are also interested in. In case of a duplicate registration, please notice that a full course fee will be charged when reaching the application deadline on all courses.
The course, C119/102 Datamanagement & Stata, is being offered by the Graduate School of Health, Aarhus University, 2023.
Criteria for participation: University degree in medicine, dentistry, nursing, or Master’s degree in other fields and/or postgraduate research fellows (PhD students and research-year medical students).
It is a prerequisite for participants to know elementary Windows or Mac functions for handling files and folders.
Recommended knowledge for participation: An Introduction to Stata for Health Researchers, Fourth Edition (ebook) by Svend Juul and Morten Frydenberg, can be regarded a nice, but not strictly necessary, supplement to this course. On purchasing the Stata software package and the book by S Juul/M Frydenberg see https://trialpartner.clin.au.dk?dataman
Aim: Introduction to REDCap (eCapture) and, more elaborate, to the statistical package: Stata, and its use in a well-structured and fully documented data handling process.
Please note that this course is mandatory to take the course before the course in basic biostatistics.
Learning outcomes: Having completed this course the student will be able to:
- Handle research data in a way that live up to legal- as well as basic scientific requirements
- Relate to the basic principles of data documentation
- Relate to Stata’s user-interface and basic functionalities
- Use Stata’s build-in help system
- Build well-structured command-files (“do-files”) to enhance transparency and reproducibility
Workload: The full workload of the course is expected to be 14 hours.
Content: This two-day course alternates between lectures and exercise work (50-50%).
Instructors: Teacher/assistants from Department of Clinical Medicine
Venue: Aarhus University, Aarhus
Participation in the course is without cost for:
- PhD students, Health Research Year students and Health Research Honours Programme students from Aarhus University
- PhD students enrolled at partner universities of the Nordoc collaboration
- PhD students from other institutions in the open market agreement for PhD courses
- 24 August 2023 09:00 - 16:00
- 25 August 2023 09:00 - 16:00