Multiple testing with minimal assumptions |
| |
Authors: | Westfall Peter H Troendle James F |
| |
Affiliation: | Texas Tech University, Lubbock, TX, USA. peter.westfall@ttu.edu |
| |
Abstract: | Resampling-based multiple testing methods that control the Familywise Error Rate in the strong sense are presented. It is shown that no assumptions whatsoever on the data-generating process are required to obtain a reasonably powerful and flexible class of multiple testing procedures. Improvements are obtained with mild assumptions. The methods are applicable to gene expression data in particular, but more generally to any multivariate, multiple group data that may be character or numeric. The role of the disputed "subset pivotality" condition is clarified. |
| |
Keywords: | Bootstrap Exchangeability Permutation Resampling Subset pivotality |
本文献已被 PubMed 等数据库收录! |