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20232026
most citedRMST-based multiple contrast tests in general factorial designs

14 citations · 20 across the 10 of their papers we have counts for

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5 papers · 1 filter

stat.ME2024

Quadratic Form based Multiple Contrast Tests for Comparison of Group Means

Paavo Sattler, Markus Pauly, Merle Munko

Comparing the mean vectors across different groups is a cornerstone in the realm of multivariate statistics, with quadratic forms commonly serving as test statistics. However, when…

stat.ME2024★ 1 cited

Multiple tests for restricted mean time lost with competing risks data

Merle Munko, Dennis Dobler, Marc Ditzhaus

Easy-to-interpret effect estimands are highly desirable in survival analysis. In the competing risks framework, one good candidate is the restricted mean time lost (RMTL). It is de…

stat.ME2024

Early and Late Buzzards: Comparing Different Approaches for Quantile-based Multiple Testing in Heavy-Tailed Wildlife Research Data

Marléne Baumeister, Merle Munko, Kai-Philipp Gladow +3

In medical, ecological and psychological research, there is a need for methods to handle multiple testing, for example to consider group comparisons with more than two groups. Typi…

math.ST2024

Conditional Delta-Method for Resampling Empirical Processes in Multiple Sample Problems

Merle Munko, Dennis Dobler

The functional delta-method has a wide range of applications in statistics. Applications on functionals of empirical processes yield various limit results for classical statistics.…

stat.ME2024★ 1 cited

Multiple Comparison Procedures for Simultaneous Inference in Functional MANOVA

Merle Munko, Marc Ditzhaus, Markus Pauly +1

Functional data analysis is becoming increasingly popular to study data from real-valued random functions. Nevertheless, there is a lack of multiple testing procedures for such dat…