1 citations · 1 across the 2 of their papers we have counts for
3 papers · 1 filter
The e-Partitioning Principle of False Discovery Rate Control
Jelle Goeman, Rianne de Heide, Aldo Solari
We present a novel necessary and sufficient principle for False Discovery Rate (FDR) control. This e-Partitioning Principle says that a procedure controls FDR if and only if it is…
Carefree multiple testing with e-processes
Yury Tavyrikov, Jelle J. Goeman, Rianne de Heide
E-processes enable hypothesis testing with ongoing data collection while maintaining Type I error control. However, when testing multiple hypotheses simultaneously, current -val…
Permutation-based multiple testing when fitting many generalized linear models
Riccardo De Santis, Jelle J. Goeman, Samuel Davenport +2
In many applied sciences a popular analysis strategy for high-dimensional data is to fit many multivariate generalized linear models in parallel. This paper presents a novel approa…