False Discovery Rate
False Discovery Rate is a statistical error rate in hypothesis testing that quantifies the expected proportion of incorrectly rejected null hypotheses among all rejected hypotheses.
2.4K
Publications
375.5K
Citations
12K
Authors
2.8K
Institutions
Publications per year
2017–2026
882
2.4K
1–5 of 2.4K
12K
24
h-index
18
h-index
17
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17
h-index
15
h-index
1–5 of 12K
2.8K
Stanford University
Stanford, United States
57 h-index
300 publications
104.4K citations
Harvard University
Cambridge, United States
44 h-index
352 publications
61.6K citations
University of Washington
Seattle, United States
41 h-index
238 publications
61.4K citations
University of Pennsylvania
Philadelphia, United States
37 h-index
181 publications
13.9K citations

Tel Aviv University
Tel Aviv, Israel
32 h-index
75 publications
241.2K citations

Karolinska Institutet
Stockholm, Sweden
31 h-index
161 publications
12.9K citations
University of Michigan
Ann Arbor, United States
31 h-index
133 publications
15.7K citations
Inserm
Paris, France
31 h-index
182 publications
18.3K citations
1–8 of 2.8K
136 publications · 22.9K citations
59
h-index
JPR · 98 publications · 6.4K citations
45
h-index
64 publications · 11.2K citations
39
h-index
91 publications · 7.6K citations
38
h-index
80 publications · 4K citations
36
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1–5