2 citations · 3 across the 3 of their papers we have counts for
3 papers
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…
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…
Simultaneous inference procedures for the comparison of multiple characteristics of two survival functions
Robin Ristl, Heiko Götte, Armin Schüler +2
Survival time is the primary endpoint of many randomized controlled trials, and a treatment effect is typically quantified by the hazard ratio under the assumption of proportional…