Resampling-based Multiple Testing
Resampling-Based Multiple Testing is a statistical methodology that belongs to the class of multiple testing correction procedures and specifically employs resampling techniques to estimate the null distribution of test statistics, thereby improving the accuracy of adjusted p-values and error rate control under dependence structures among tests.
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2017–2026
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Resampling-based multiple testing for microarray data analysis
Yongchao Ge, Sandrine Dudoit, Terence P. Speed · Test · 2003 · 509 citations
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University of California, Berkeley
Berkeley, United States
8 h-index
19 publications
2K citations
Texas Tech University
Lubbock, United States
4 h-index
4 publications
440 citations

Tel Aviv University
Tel Aviv, Israel
3 h-index
5 publications
1.7K citations
Stanford University
Stanford, United States
3 h-index
3 publications
374 citations
University of California, San Francisco
San Francisco, United States
3 h-index
3 publications
127 citations
University of Zurich
Zurich, Switzerland
2 h-index
2 publications
348 citations
National Institutes of Health
Bethesda, United States
2 h-index
2 publications
129 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
2 publications
93 citations
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4 publications · 939 citations
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SAGMB · 3 publications · 102 citations
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Repository · 3 publications · 127 citations
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JBS · 2 publications · 95 citations
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2 publications · 1.8K citations
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