88 citations · 206 across the 13 of their papers we have counts for
14 papers
Interpolation and coherence in multiple testing
Ninh Tran, Dennis Leung, Jesse Hemerik
In the literature on multiple testing methods that control the familywise error rate, a fundamental concept is "coherence". A procedure is coherent if it is "logically consistent"…
Nonparametric methods controlling the median of the false discovery proportion
Jesse Hemerik
When testing many hypotheses, often we do not have strong expectations about the directions of the effects. In some situations however, the alternative hypotheses are that the para…
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…
Robust Inference for Generalized Linear Mixed Models: An Approach Based on Score Sign Flipping
Angela Andreella, Jelle Goeman, Jesse Hemerik +1
Despite the versatility of generalized linear mixed models in handling complex experimental designs, they often suffer from misspecification and convergence problems. This makes in…
On the term "randomization test"
Jesse Hemerik
There exists no consensus on the meaning of the term "randomization test". Contradicting uses of the term are leading to confusion, misunderstandings and indeed invalid data analys…
Inference in generalized linear models with robustness to misspecified variances
Riccardo De Santis, Jelle J. Goeman, Jesse Hemerik +2
Generalized linear models usually assume a common dispersion parameter, an assumption that is seldom true in practice. Consequently, standard parametric methods may suffer apprecia…