Experimental studies in biomedical research frequently pose analytical problems related to
small sample size. In such studies, there are conflicting findings regarding the choice of …

While current guidelines generally recommend single endpoints for primary analyses of
confirmatory clinical trials, it is recognized that certain settings require inference on multiple …

Recent methodological researches produced permutation methods to test parameters in
presence of nuisance variables in linear models or repeated measures ANOVA. Permutation …

We develop parametric and nonparametric bootstrap methods for multi-factor multivariate
data, without assuming normality, and allowing for covariance matrices that are …

Minimax optimality of permutation tests Page 1 The Annals of Statistics 2022, Vol. 50, No. 1,
225–251 https://doi.org/10.1214/21-AOS2103 © Institute of Mathematical Statistics, 2022 …

In many experiments and especially in translational and preclinical research, sample sizes
are (very) small. In addition, data designs are often high dimensional, ie more dependent …

Existing tests for factorial designs in the non-parametric case are based on hypotheses
formulated in terms of distribution functions. Typical null hypotheses, however, are …

Fisher's randomization test (frt) delivers exact p-values under the strong null hypothesis of
no treatment effect on any units whatsoever and allows for flexible covariate adjustment to …

Given a sample from a bivariate distribution, consider the problem of testing independence.
A permutation test based on the sample correlation is known to be an exact level α test …

The Fisher randomization test (FRT) is appropriate for any test statistic, under a sharp null
hypothesis that can recover all missing potential outcomes. However, it is often sought after …