19 May A practical introduction to Stata
19/05/2020 - 22/05/2020
1:00 pm - 5:00 pm
statistics course | level: beginner
registrations and venue via Ghent University
This is a 4-day practical introduction to Stata
* Assumes no/very little knowledge of Stata
* Learning objectives:
** Familiarize yourself with the Stata interface/managing do-files
** Get data in and out of Stata
** Explore and visualize data
*** Screen and clean data (missing data/outlier handling)
*** Compute new variables and transformations
** Basic statistical modeling
*** Analysis of Variance
*** Linear regression
*** Logistic regression
*** Exploratory factor analysis
*** Confirmatory factor analysis
* Used in a variety of disciplines
* Great guides available on the web
Materials and setup
* You will need a copy of Stata installed on your machine (Stata is not on Athena)
* Please feel free to ask questions at any point if they are relevant to the topic or the course as a whole.
* Collaboration with your neighbors is encouraged.
* If you are using a laptop, you will need to adjust paths accordingly.
* Make comments in your Do-file rather than on hand-outs.
** Save on flash drive or e-mail to yourself.
Everyone interested in the topic - priority will be given to PhD students & postdocs affiliated to Flemish universities.
PhD students and post-doctoral fellows: 125*
Public and private sector: €500
*UGent doctoral students can apply for reimbursement through an application of recognition with the UGent Doctoral Schools. Doctoral students from other Flemish universities can be reimbursed by FLAMES upon complete attendance.
The registration fee is due within 30 days following receipt of the invoice. Payment is possible through bank transfer with clear statement of the structured message on the invoice. Cash payments are not possible.
Cancellation by the participant:
You are registered for the course from the moment the standardized confirmation mail is sent to you by FLAMES-UGent. From that moment on the cancellation and payment conditions are in effect.
Knowledge of basic statistical concepts and experience with other programming languages are considered advantageous, but not required for learning the Stata.