1 code implementation • 24 May 2023 • Simon Wiegrebe, Philipp Kopper, Raphael Sonabend, Bernd Bischl, Andreas Bender
The influx of deep learning (DL) techniques into the field of survival analysis in recent years has led to substantial methodological progress; for instance, learning from unstructured or high-dimensional data such as images, text or omics data.
no code implementations • 25 May 2022 • David Rügamer, Andreas Bender, Simon Wiegrebe, Daniel Racek, Bernd Bischl, Christian L. Müller, Clemens Stachl
Here, we propose Factorized Structured Regression (FaStR) for scalable varying coefficient models.
no code implementations • 12 Feb 2022 • Philipp Kopper, Simon Wiegrebe, Bernd Bischl, Andreas Bender, David Rügamer
Survival analysis (SA) is an active field of research that is concerned with time-to-event outcomes and is prevalent in many domains, particularly biomedical applications.