activity
20062026
most citedLimit distribution theory for maximum likelihood estimation of a log-concave density

87 citations · 557 across the 33 of their papers we have counts for

collaborators
Showing 2024Show all

5 papers · 1 filter

stat.ME2024★ 1 cited

"6 choose 4": A framework to understand and facilitate discussion of strategies for overall survival safety monitoring

Godwin Yung, Kaspar Rufibach, Marcel Wolbers +2

Advances in anticancer therapies have significantly contributed to declining death rates in certain disease and clinical settings. However, they have also made it difficult to powe…

stat.AP2024

Clinical trials with interim analyses: Standardizing Terminology to increase clarity

Elina Asikanius, Benjamin Hofner, Lisa V. Hampson +5

Interim analyses for group-sequential decision making are prevalent in clinical trials. Methodology is well established and has been routinely implemented over the last decades. St…

stat.ME2024

Using shrinkage methods to estimate treatment effects in overlapping subgroups in randomized clinical trials with a time-to-event endpoint

Marcel Wolbers, Mar Vázquez Rabuñal, Ke Li +2

In randomized controlled trials, forest plots are frequently used to investigate the homogeneity of treatment effect estimates in subgroups. However, the interpretation of subgroup…

stat.ME2024★ 2 cited

Balancing events, not patients, maximizes power of the logrank test: and other insights on unequal randomization in survival trials

Godwin Yung, Kaspar Rufibach, Marcel Wolbers +2

We revisit the question of what randomization ratio (RR) maximizes power of the logrank test in event-driven survival trials under proportional hazards (PH). By comparing three app…

stat.AP2024

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…