In this article we review recent advances in-value-based multiple test procedures (MTPs).
We begin with a brief review of the basic tests of Bonferroni and Simes. Standard stepwise …

This cross-sectional study investigated differences in the plasma metabolome in two groups
of adults that were of similar age but varied markedly in body composition and dietary and …

Multiple testing is a commonly used tool in modern data science. Sometimes, the
hypotheses are embedded in a space; the distances between the hypotheses reflect their co …

In this chapter, we give a survey of multiple test procedures (MTPs) based on p-values.
These MTPs are widely used in practice since they are easy to apply and do not make any …

We describe a general framework for weighted parametric multiple test procedures based
on the closure principle. We utilize general weighting strategies that can reflect complex …

There is much interest in using the Hochberg procedure (HP) for statistical tests on primary
endpoints of confirmatory clinical trials. The procedure is simple to use and enjoys more …

When efficacy of a treatment is measured by co‐primary endpoints, efficacy is claimed only if
for each endpoint an individual statistical test is significant at level α. While such a strategy …

Regulatory guidelines mandate the strong control of the familywise error rate in confirmatory
clinical trials with primary and secondary objectives. Bonferroni tests are one of the popular …

Regulatory guidelines for drug development suggest a strong control of the familywise error
rate (FWER), when multiple hypotheses are simultaneously tested in confirmatory clinical …

The graphical approach to multiple testing provides a convenient tool for designing,
visualizing, and performing multiplicity adjustments in confirmatory clinical trials while …