Familywise robustness criteria for multiple‐comparison procedures
Burt Holland and
Siu Hung Cheung
Journal of the Royal Statistical Society Series B, 2002, vol. 64, issue 1, 63-77
Abstract:
A criticism of multiple‐comparison procedures is that the family of inferences over which an error rate is controlled is often arbitrarily selected, yet the conclusion may depend heavily on the choice of the family. Such ambiguity is most likely in large exploratory studies requiring numerous simultaneous inferences. In ambiguous situations it is desirable that results of multiple‐comparison procedures depend little on the chosen family. To assess this, we propose several familywise robustness criteria to evaluate such procedures, and we find some of their properties theoretically and by simulation. Procedures that control the false discovery rate seem to be familywise robust.
Date: 2002
References: View complete reference list from CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1111/1467-9868.00325
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:bla:jorssb:v:64:y:2002:i:1:p:63-77
Ordering information: This journal article can be ordered from
http://ordering.onli ... 1111/(ISSN)1467-9868
Access Statistics for this article
Journal of the Royal Statistical Society Series B is currently edited by P. Fryzlewicz and I. Van Keilegom
More articles in Journal of the Royal Statistical Society Series B from Royal Statistical Society Contact information at EDIRC.
Bibliographic data for series maintained by Wiley Content Delivery ().