2 citations · 4 across the 5 of their papers we have counts for
5 papers · 1 filter
Clustering-Based Outcome Models for Clinical Studies: A Scoping Review
Johannes Vilsmeier, Fabian Eibensteiner, Franz König +6
This review provides a systematic overview of methods that combine covariate-based clustering of observational units (patients) with outcome models for clinical studies. We disting…
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…
Efficiency of Multivariate Tests in Trials in Progressive Supranuclear Palsy
Elham Yousefi, Mohamed Gewily, Franz König +6
Measuring disease progression in clinical trials for testing novel treatments for multifaceted diseases as Progressive Supranuclear Palsy (PSP), remains challenging. In this study…
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…