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.
A registration is required. You can find more information on the CAS website.
The Center for Advanced Studies at LMU provides a forum for scientific exchange and discussion that bridges the divide between the established disciplines. Its activities are designed to promote all forms of collaborative research and to stimulate interdisciplinary communication within the University. In addition, it facilitates the integration of visiting scholars and scientists into the academic life of the University.