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Stata introduction course

OPEN organises an introduction course in Stata for you, who wishes to learn more about the basic use of the program.


To give the participants knowledge of the basic use of Stata, including data import and basic data management.
Stata is a software for both data management as well as simple and advanced statistical analyses and is commonly used for analyses in health research at University of Southern Denmark and Odense University Hospital.

Target group

The course is targeted at clinical researchers with no experience with Stata.
Notice that the course does not give an introduction to statistical methods, but only to the use of Stata.
During the course, small tasks will be done in Stata, therefore you need to bring your own computer with Stata 15 or 16 installed (Stata 13 will do, if necessary).
If you do not have access to Stata, please contact Inge Petersen at before enrollment.


Morning: Basic elements of using Stata

  • This is what Stata looks like: Windows, menus etc.
  • Where is my data? Working directory and file placement
  • To document what you do: Do-files
  • To document what you have done: Log files
  • To open, save and look at data: Use/Save/Browse
  • Import of data from REDCap and Excel/CSV files
  • The help-function: Help

Afternoon: Basic elements of data management in Stata

  • The data concept of Stata: A (two-dimensional) data set
  • Gaining overview: Codebook/tab/summarise
  • To create new variables: Generate/replace
  • Types of variables and converting: Numbers/text/dates
  • Description of data: Labels
  • Conversion of data: Merge/reshape/collapse
 Time and place

Please see Plan2Learn :


The course is free of charge for employees at the Region of Southern Denmark and Department of Clinical Research, University of Southern Denmark.
If you wish to participate, but are not employed any of these places, please inform invoice details at enrolment. In this case, participation will cost DKK 1.200.


Enrolment via Plan2Learn:


Inge Petersen, Statistician, OPEN – Odense Patient data Explorative Network.