期刊
BIOMETRIKA
卷 96, 期 1, 页码 201-211出版社
OXFORD UNIV PRESS
DOI: 10.1093/biomet/asn061
关键词
Benjamini-Hochberg procedure; Bonferroni procedure; False discovery rate; Fuzzy decision-making; Multiple comparisons; Randomized test
资金
- U. K. Biotechnology and Biological Sciences Research Council
- Biotechnology and Biological Sciences Research Council [BB/G000352/1] Funding Source: researchfish
- BBSRC [BB/G000352/1] Funding Source: UKRI
Fuzzy multiple comparisons procedures are introduced as a solution to the problem of multiple comparisons for discrete test statistics. The critical function of the randomized p-values is proposed as a measure of evidence against the null hypotheses. The classical concept of randomized tests is extended to multiple comparisons. This approach makes all theory of multiple comparisons developed for continuously distributed statistics automatically applicable to the discrete case. Examples of familywise error rate and false discovery rate procedures are discussed and an application to linkage disequilibrium testing is given. Software for implementing the procedures is available.
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