AI and Data Science


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° DA 24-25-Meta EN
Tags: Data Analysis


This course will give a broad overview of topics in meta-analysis. Most standard topics in meta-analysis will be covered, such as risk of bias analysis, searching studies, fixed/common versus random effect models, heterogeneity, publication bias, differences between meta-analysis of randomized trials and meta-analysis observational studies. The course will briefly cover some more advanced topics (bivariate meta-analysis, exact methods for binary outcomes, network meta-analysis). Practical exercise in R and Stata will be available.

Target audience

Applied Researchers, with a basic knowledge of statistics (hypothesis testing, p-values, confidence intervals, linear and logistic regression), epidemiologists, statisticians.

Course prerequisites

There are no course prerequisites for this course. Anyone can join.

Exam / Certificate

If you take part in all 5 sessions you will receive a certificate of attendance via e-mail after the course ends.

Additionally, you can take part in an exam. If you succeed in this test a certificate from Ghent University is issued.
The exam consists of a take home project assignment. You are required to write a report by a set deadline.

Type of course

This is an on campus course.


Faculty of Science, Campus Sterre, Krijgslaan 281, 9000 Ghent, Building S1


Tuesday 06/05 from 10 am until 5 pm 3th floor, Classroom 3.3

Wednesday 07/05 from 9.30 am until 5 pm 3th floor, Classroom 3.2

Thursday 08/05 from 9 am until 13 pm 1st floor, Classroom 1.1

Course material

Access to the slides


The participation fee is 1100 EUR for participants from the private sector. Reduced prices apply to students and staff from non-profit, social profit, and government organizations. An exam fee of 35 EUR will be applied.

  • Industry, private sector, profession*: € 1100
  • Non profit, government, higher education staff: € 825
  • (Doctoral) students, unemployed: € 495 | Full reimbursement by Doctoral Schools is possible (see details below).

*If two or more employees from the same company enrol simultaneously for this course a reduction of 20% on the course fee is taken into account starting from the second enrolment.


To register, add the course below to your shopping cart and proceed to checkout.

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UGent PhD students

Doctoral School pays for your course on the condition that you sign the attendance list for each lesson. If you are absent, please notify our academy in advance by email and provide the necessary documents.

We follow the No Show polity of the Doctoral School!


Information on "KMO-portefeuille":


Science Academy (IPVW)

Faculty of Science


Course number:
DA 24-25-Meta
Short- en long-term programmes
Area of interest:
AI and Data Science, Sciences
Academic year:
2024 - 2025
Starting date:
Contact person:
More information

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