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Introduction to STATA (Doctoral Candidates & Postdocs+)

20.-21. February 2023
PC-Pool U.17.1 (GW I)

Time: 09:00 am - 05:00 pm

Trainer: Dr. Johanna Sophie Quis
Language: English
Qualification Area: Empirical methods, software applications
Registration: 20 January until 13 February 2023
Deregistration: until 13 February 2023

for members of the University of Bayreuth Graduate School via BayDOC
for Postdocs+ (= postdocs, habilitation candidates and junior professors (with and without tenure track) & junior research group leaders between habilitation and junior professorship) via WiN-UBT portal

Description

  • Basic statistical knowledge is assumed (e.g. descriptive statistics, basics of regression analysis)
  • No previous knowledge of Stata is required
  • Knowledge of syntax-based software (e.g. SPSS, R) is helpful but not required

Please note that the course does not give a detailed insight into the statistical procedures and the underlying mathematics, but introduces how to use standard statistical procedures in Stata.
After attending the first day of the course, students with no prior Stata knowledge will be able to use basic commands in Stata, understand the basic logic of “how Stata works”, and will use do- and log-files to document their analyses.
The second day builds upon the first, but is also open to intermediate beginners, who know how to use do-files and perform simple regression analyses. It will cover more commands for analyses and add automation techniques like loops and macros as well as the production of publishable tables and graphics.

Qualification Goal

  • gain basic working knowledge in Stata
  • learn how to create and manipulate datasets in Stata
  • learn to produce tables and graphs to present results from analyses

Trainer

  • 2009-2013 Study of Economics (VWL) at the Ludwig Maximilian University of Munich
  • 2013-2019 PhD Thesis at the University of Bamberg
  • since 2019 Post-doc at the Institute of Health Economics at Leibniz University Hannover

For reasons of respect and fairness towards all participants and the workshop leaders, participants who miss more than 10% of the workshop are considered not to be present. You will therefore not receive a certificate and you will not be able to use the workshop in question to unlock funds or acquire further qualifications.

Verantwortlich für die Redaktion: Dipl.-Ing. Iris Hetz

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