Meta-Analysis- M12
AI and Data Science
AI and Data Science
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.
Applied Researchers, with a basic knowledge of statistics (hypothesis testing, p-values, confidence intervals, linear and logistic regression), epidemiologists, statisticians.
There are no course prerequisites for this course. Anyone can join.
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.
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
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.
*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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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.
By registering for a course or event organized by the Science Academy, you agree to the cancellation procedure that you can find on our website
Information on "KMO-portefeuille": https://www.ugent.be/nl/opleidingen/levenslang-leren/kmo
Science Academy (IPVW)
Faculty of Science
science-academy@ugent.be