40 citations · 59 across the 11 of their papers we have counts for
5 papers · 1 filter
Multi-Modal Dataset Creation for Federated Learning with DICOM Structured Reports
Malte Tölle, Lukas Burger, Halvar Kelm +21
Purpose: Federated training is often hindered by heterogeneous datasets due to divergent data storage options, inconsistent naming schemes, varied annotation procedures, and dispar…
A Review of EMA Public Assessment Reports where Non-Proportional Hazards were Identified
Florian Klinglmueller, Norbert Benda, Tim Friede +8
While well-established methods for time-to-event data are available when the proportional hazards assumption holds, there is no consensus on the best approach under non-proportiona…
A studentized permutation test in group sequential designs
Long-Hao Xu, Tobias Mütze, Frank Konietschke +1
In group sequential designs, where several data looks are conducted for early stopping, we generally assume the vector of test statistics from the sequential analyses follows (at l…
Survival analysis for AdVerse events with VarYing follow-up times (SAVVY): summary of findings and a roadmap for the future of safety analyses in clinical trials
Kaspar Rufibach, Jan Beyersmann, Tim Friede +2
The SAVVY project aims to improve the analyses of adverse events (AEs) in clinical trials through the use of survival techniques appropriately dealing with varying follow-up times…
A two-step approach for analyzing time to event data under non-proportional hazards
Jonas Brugger, Tim Friede, Florian Klinglmüller +3
The log-rank test and the Cox proportional hazards model are commonly used to compare time-to-event data in clinical trials, as they are most powerful under proportional hazards. B…