Background: Loss of brain-derived neurotrophic factor (BDNF)/TrkB (tropomyosin kinase
receptor B) signaling accounts for brain and cardiac disorders. In neurons, β-adrenergic …

When permutation methods are used in practice, often a limited number of random
permutations are used to decrease the computational burden. However, most theoretical …

Per-and polyfluoroalkyl substances (PFAS) have become ubiquitous environmental
contaminants in aquatic ecosystems worldwide. Marine mammals, as top predators, are …

When multiple hypotheses are tested, interest is often in ensuring that the proportion of false
discoveries is small with high confidence. In this paper, confidence upper bounds for the …

Sum-based global tests are highly popular in multiple hypothesis testing. In this paper, we
propose a general closed testing procedure for sum tests, which provides lower confidence …

Significance analysis of microarrays (SAM) is a highly popular permutation-based multiple-
testing method that estimates the false discovery proportion (FDP): the fraction of false …

Consistency of invariance-based randomization tests Page 1 The Annals of Statistics 2022, Vol.
50, No. 4, 2443–2466 https://doi.org/10.1214/22-AOS2200 © Institute of Mathematical Statistics …

Amongst the several consequences of the COVID-19 pandemic, we should include
psychological effects on the population. The mental health consequences of lockdown are …

Generalized linear models are often misspecified because of overdispersion,
heteroscedasticity and ignored nuisance variables. Existing quasi-likelihood methods for …

Generalized linear models usually assume a common dispersion parameter. This
assumption is seldom true in practice, and may cause appreciable loss of type I error control …