M15-Time-to-Event Analysis (Survival) with applications to Health sciences and Industry

Starts on 22.05.2023

AI and Data Science


More information
° DA22-23-M15 EN
Tags: Postacademische opleiding



Analyzing time to an event (disease recurrence, death, employment, breakdown of machinery, first purchase,…) takes an important place in many fields. The presence of both a categorical component (did or did not experience the event) and a time-component, however, brings very specific difficulties that makes time-to-event analysis a field on its own.

For example, what is the meaning of the average time to employment, if a large proportion of your sample is still unemployed? Or how to deal with a patient who died before relapse, when analyzing time to relapse?

This course offers an introduction to time-to-event analysis, starting with the basic concepts and descriptive techniques (Kaplan Meier), introducing regression models (Cox models and parametric models) and the analysis of competing risks and multistate models.

More information to follow.

Fees and registration

Fees and registration form are available on the website of the Academy for Lifelong Learning of the Faculty of Sciences (UGent).

Exam / Certificate

There is no exam connected to this module. If you attend all four sessions you will receive a certificate of attendance via e-mail at the end of the course.

Type of course

This is an on campus course. We offer blended learning options if, exceptionally, you can't attend a class on campus.


Two full days in May 2023: Monday May 22 and Tuesday May 23, 2023, from 9 am to 12 pm and from 1 pm to 4 pm


Faculty of Science, Campus Sterre, Krijgslaan 281, Building S9, Ghent

Course material

Acces to slides and code for the practical sessions

Click here to see the overview of all modules in this year's course in Data Analysis

Course number:
Short- en long-term programmes
Area of interest:
AI and Data Science, Sciences
Academic year:
2022 - 2023
Starting date:
Dries Reynders
Contact person:
More information

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