Lunch Talk: Machine Learning Based Time-to-Event Analysis

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.

Speaker: Andreas Bender (MCML/LMU)
Respondent: Stefan Feuerriegel (MCML/LMU)

Organized by:

Department of Statistics LMU Munich