2 citations · 3 across the 2 of their papers we have counts for
2 papers
stat.ME2024★ 1 cited
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…
stat.ME2023★ 2 cited
A neutral comparison of statistical methods for time-to-event analyses under non-proportional hazards
Florian Klinglmüller, Tobias Fellinger, Franz König +10
While well-established methods for time-to-event data are available when the proportional hazards assumption holds, there is no consensus on the best inferential approach under non…