activity
20192026
collaborators

6 papers

stat.ME2026

Multiple testing

Jesse Hemerik

This text provides an introduction to multiple hypothesis testing. It covers various error criteria and testing procedures, and includes references to relevant R packages. An earli…

stat.ME2025

Resampling-based multi-resolution false discovery exceedance control

Jesse Hemerik

MaxT is a highly popular resampling-based multiple testing procedure, which controls the Familywise Error Rate (FWER) and is powerful under dependence. This paper generalizes maxT…

stat.AP2024

Choosing alpha post hoc: the danger of multiple standard significance thresholds

Jesse Hemerik, Nick W Koning

A fundamental assumption of classical hypothesis testing is that the significance threshold is chosen independently from the data. The validity of confidence intervals likewise…

stat.ME2022

More Efficient Exact Group-Invariance Testing: using a Representative Subgroup

Nick W. Koning, Jesse Hemerik

Non-parametric tests based on permutation, rotation or sign-flipping are examples of group-invariance tests. These tests test invariance of the null distribution under a set of tra…

stat.ME2020

On optimal two-stage testing of multiple mediators

Vera Djordjilović, Jesse Hemerik, Magne Thoresen

Mediation analysis in high-dimensional settings often involves identifying potential mediators among a large number of measured variables. For this purpose, a two-step familywise e…

stat.ME2019

Optimal two-stage testing of multiple mediators

Vera Djordjilović, Jesse Hemerik, Magne Thoresen

Mediation analysis in high-dimensional settings often involves identifying potential mediators among a large number of measured variables. For this purpose, a two step familywise e…