6 citations · 9 across the 6 of their papers we have counts for
6 papers
Comparing restricted mean survival times in small sample clinical trials using pseudo-observations
David Jesse, Cynthia Huber, Tim Friede
The widely used proportional hazard assumption cannot be assessed reliably in small-scale clinical trials and might often in fact be unjustified, e.g. due to delayed treatment effe…
Subgroup identification using individual participant data from multiple trials on low back pain
Cynthia Huber, Tim Friede
Model-based recursive partitioning (MOB) and its extension, metaMOB, are potent tools for identifying subgroups with differential treatment effects. In the metaMOB approach random…
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…
Methods for non-proportional hazards in clinical trials: A systematic review
Maximilian Bardo, Cynthia Huber, Norbert Benda +13
For the analysis of time-to-event data, frequently used methods such as the log-rank test or the Cox proportional hazards model are based on the proportional hazards assumption, wh…
Model-based recursive partitioning for discrete event times
Cynthia Huber, Matthias Schmid, Tim Friede
Model-based recursive partitioning (MOB) is a semi-parametric statistical approach allowing the identification of subgroups that can be combined with a broad range of outcome measu…
Subgroup identification in individual patient data meta-analysis using model-based recursive partitioning
Cynthia Huber, Norbert Benda, Tim Friede
Model-based recursive partitioning (MOB) can be used to identify subgroups with differing treatment effects. The detection rate of treatment-by-covariate interactions and the accur…