False Discovery Control
False Discovery Control is a statistical methodology in subgroup effectiveness analysis that governs the expected proportion of incorrectly rejected null hypotheses among all rejected hypotheses to mitigate erroneous findings in multiple testing scenarios.
260
Publications
146.1K
Citations
630
Authors
324
Institutions
Publications per year
2017–2026
100
260
David Thissen, Lynne Steinberg, Daniel Kuang · Journal of Educational and Behavioral Statistics · 2002 · 983 citations
1–5 of 260
630
13
h-index
11
h-index
Laboratoire de Probabilités et Modèles Aléatoires, France
7 publications · 351 citations
7
h-index
7
h-index
7
h-index
1–5 of 630
324

Tel Aviv University
Tel Aviv, Israel
17 h-index
26 publications
227.6K citations
Carnegie Mellon University
Pittsburgh, United States
15 h-index
31 publications
3.1K citations
Stanford University
Stanford, United States
12 h-index
34 publications
1.7K citations
University of Pennsylvania
Philadelphia, United States
11 h-index
16 publications
1K citations
University of California, Berkeley
Berkeley, United States
11 h-index
20 publications
696 citations
University of Southern California
Los Angeles, United States
10 h-index
13 publications
572 citations
Temple University
Philadelphia, United States
9 h-index
27 publications
1.4K citations
Laboratoire de Probabilités et Modèles Aléatoires
Paris, France
7 h-index
8 publications
382 citations
1–8 of 324
17 publications · 12.3K citations
15
h-index
15 publications · 1.4K citations
15
h-index
15 publications · 109.8K citations
14
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Repository · 15 publications · 282 citations
13
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8 publications · 756 citations
9
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1–5