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Generalized multivariate Mann-Whitney- tests and confidence regions for relative effects under random missingness
Dennis Dobler, Jörg-Tobias Kuhn, Lubna Amro +1
Marginal Mann-Whitney effects are widely used across various fields of research, and extensions of this estimand have been developed in many directions in statistical methodology.…
Inference in pseudo-observation-based regression using (biased) covariance estimation and naive bootstrapping
Simon Mack, Morten Overgaard, Dennis Dobler
The pseudo-observation method is regularly applied to time-to-event data. However, to date such analyses have relied on not formally verified statements or ad-hoc methods regarding…
Inference via Wild Bootstrap and Multiple Imputation under Fine-Gray Models with Incomplete Data
Marina T. Dietrich, Dennis Dobler, Mathisca C. M. de Gunst
Fine-Gray models specify the subdistribution hazards for one out of multiple competing risks to be proportional. The estimators of parameters and cumulative incidence functions und…
Wild Bootstrap for Counting Process-Based Statistics
Marina T. Dietrich, Dennis Dobler, Mathisca C. M. de Gunst
The wild bootstrap is a popular resampling method in the context of time-to-event data analyses. Previous works established the large sample properties of it for applications to di…
Testing for patterns and structures in covariance and correlation matrices
Paavo Sattler, Dennis Dobler
Covariance matrices of random vectors contain information that is crucial for modelling. Specific structures and patterns of the covariances (or correlations) may be used to justif…