AI en Data Science

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

Beschrijving

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.

Venue

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

Schedule

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

Fees

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.

Registration

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

Is this your first registration for a Beta Academy course? In that case, you will need to create an account first. Afterward, you will receive a confirmation email to activate your account on the academy platform. You do not have to click on the activation link but can immediately return to your shopping cart to complete your course registration. If you do not receive a confirmation email for your course order, please contact our Science Academy at ipvw.ices@ugent.be.

Are you currently on the Nova-academy website? To proceed with the registration, simply click on the "More information" box located on the left side.

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!

KMO-portefeuille

Information on "KMO-portefeuille": https://www.ugent.be/nl/opleidingen/levenslang-leren/kmo

Organisation

Science Academy (IPVW)

Faculty of Science

ipvw.ices@ugent.be

Website

Cursusnummer:
DA 24-25-Meta
Type opleiding:
Kort- en langlopende opleidingen
Interessegebied:
AI en Data Science, Wetenschappen
Taal:
Engels
Academiejaar:
2024 - 2025
Startdatum:
06.05.2025
Contactpersoon:
ipvw.ices@ugent.be
Meer informatie

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