Target audience

More information to follow

Description

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

Course prerequisites

More information to follow

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.

Schedule

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

Venue

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

Teacher

Dries Reynders studied Physics and Statistical Data Analysis at Ghent University.

He is an experienced teacher and is, in that role, well trained in explaining the link between mathematics and the reality it describes. Currently, he works as statistical consultant for the Stat-Gent consortium.

Course material

Acces to slides and code for the practical sessions

Fees

A different price applies, depending on your main type of employment.

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

Register

Register for this course

UGent PhD students

As UGent PhD student you can incorporate this 'transferable skills seminar: research & valorization' in your Doctoral Training Program (DTP). To get a refund of the registration fee from your Doctoral School (DS) please follow these strict rules and take the necessary action in time. The deadline to open a dossier on the DS website (Application for Registration) for this course is April 21, 2023.

Opening a dossier with your DS does not mean that you are enrolled for the course with our academy. You still need to enrol via the registration form on this site.

It is you or your department that pays the fee first to our academy. The Doctoral School refunds that fee to you or your department once the course has ended.