We thank all the discussants for the careful reading and insightful comments. These
discussions are very helpful to deepen our understanding of multiple testing beyond …

We discuss three issues. In the first part, we discuss the criteria emphasized by Maurer,
Bretz, and Xun, warning that it modifies the per comparison error rate that does not address …

I congratulate the authors (Mauer, Bretz, and Xun) on an interesting article and thank the
Editors for the opportunity to discuss the work. The authors pursue a classical decision …

This comment builds on the familywise expected loss (FWEL) framework suggested by
Maurer, Bretz, and Xun in 2022. By representing the populationwise error rate (PWER) as …

The Bioconductor R package multtest implements widely applicable resamplingbased
single-step and stepwise multiple testing procedures (MTP) for controlling a broad class of …

In multiple testing, strong control of the familywise error rate (FWER) may be unnecessarily
stringent in some situations such as bioinformatic studies. An alternative approach …

In multiple testing, strong control of the familywise error rate (FWER) may be unnecessarily
stringent in some situations such as bioinformatic studies. An alternative is to control the …

The accompanying articles by Dudoit et al.(2003b) and van der Laan et al.(2003) provide
single-step and step-down resampling-based multiple testing procedures that asymptotically …

This paper proposes a multiple testing procedure that allows one to reject each individual
hypothesis at a prespecified level α, while still controlling the familywise error rate at α in the …

During multiple testing, researchers often adjust their alpha level to control the familywise
error rate for a statistical inference about a joint union alternative hypothesis (eg," H1 or …