Course Datamanagement & Stata

ECTS: 0.6

Course leader: Jakob Hjort

Language: English

Graduate school: Faculty of Health

Course fee: 720.00 DKK

Status: Course is open for application

Semester: Fall 2022

Application deadline: 04/08/2022

Start date: 01/09/2022

Administrator: Annette Poulsen

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, C119/96 Datamanagement & Stata, is being offered by the Graduate School of Health, Aarhus University, fall 2022.

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. It is highly recommended 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: The Victor Albeck building 1266, Vennelyst Blvd. 4, 8000 Aarhus C

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

Course dates:

  • 01 September 2022 09:00 - 16:00
  • 02 September 2022 09:00 - 16:00