1 citations · 1 across the 2 of their papers we have counts for
10 papers
A Uniform Improvement of the Benjamini-Hochberg Procedure via e-Closure
Jelle Goeman
This paper presents closed BH, a uniform improvement of the False Discovery Rate controlling method of Benjamini and Hochberg (BH). Closed BH is valid under the same assumption of…
On the error control of invariant causal prediction
Jinzhou Li, Jelle J Goeman
Invariant causal prediction provides a useful framework for identifying causal predictors of a response using heterogeneous data from multiple environments. One valuable property o…
Bringing Closure to False Discovery Rate Control: A General Principle for Multiple Testing
Ziyu Xu, Aldo Solari, Lasse Fischer +3
We present a novel necessary and sufficient principle for multiple testing methods controlling an expected loss. This principle asserts that every such multiple testing method is a…
Multivariate longitudinal modeling of cross-sectional and lagged associations between a continuous time-varying endogenous covariate and a non-Gaussian outcome
Chiara Degan, Bart J. A. Mertens, Jelle Goeman +4
In longitudinal studies, time-varying covariates are often endogenous, meaning their values depend on both their own history and that of the outcome variable. This violates key ass…
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…