Minimization
Minimization is a dynamic allocation concealment technique used in randomized controlled trials that assigns participants to treatment groups by minimizing imbalances in prognostic factors across groups, distinguishing itself from simple randomization by its adaptive, stratified approach to preserving balance in key covariates.
7.9K
Publications
666.4K
Citations
17.9K
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3.7K
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2017–2026
1.8K
7.9K
Greedy function approximation: A gradient boosting machine.
Jerome H. Friedman · The Annals of Statistics · 2001 · 29K citations · Full text
A Simplex Method for Function Minimization
J. A. Nelder, R. Mead · The Computer Journal · 1965 · 28.9K citations
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Centre National de la Recherche Scientifique
Paris, France
50 h-index
393 publications
20.3K citations
University of California, Berkeley
Berkeley, United States
46 h-index
218 publications
23.2K citations
University of California, Los Angeles
Los Angeles, United States
45 h-index
136 publications
40.1K citations
Stanford University
Stanford, United States
39 h-index
148 publications
48.1K citations

University of Minnesota
Minneapolis, United States
39 h-index
129 publications
15.3K citations
Massachusetts Institute of Technology
Cambridge, United States
37 h-index
133 publications
30.1K citations
Institut national de recherche en sciences et technologies du numérique
Le Chesnay-Rocquencourt, France
35 h-index
133 publications
11.4K citations
University of Illinois Urbana-Champaign
Urbana, United States
34 h-index
138 publications
16.1K citations
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147 publications · 29.4K citations
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144 publications · 18.8K citations
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88 publications · 14K citations
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Repository · 240 publications · 9.6K citations
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TPAMI · 60 publications · 17.1K citations
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