Speaker: Dr. Andreas Bender (Statistics, LMU)
Respondent: Prof. Dr. Stefan Feuerriegel (LMU)
In many applications the time until an event of interest occurs is an important endpoint. Due to the way such data is collected, however, the outcome of interest can often be observed only partially. Time-to-event analysis (also known as survival analysis) provides techniques to deal with such data. In this talk, we will discuss use-cases, particularly from the medical domain, and how machine learning methods are used in this context.
Andreas Bender is CAS Researcher in Residence during the winter semester 2024/25.
The research colloquium at CAS primarily addresses university members.
Registration
Registration is required for participation. If you are interested in our event, please contact us: info@cas.lmu.de.