Adaptive Decision Rules
Adaptive Decision Rules is a methodological framework in adaptive experimental design that specifies pre-defined criteria for modifying study parameters during the trial based on accumulating data, thereby distinguishing it from fixed decision protocols by enabling dynamic, data-driven adjustments to optimize trial efficiency and validity.
86
Publications
5.5K
Citations
230
Authors
147
Institutions
Publications per year
2017–2026
16
86
DECISION RULES FOR SITE FIDELITY IN A MIGRATORY BIRD, THE PROTHONOTARY WARBLER
Jeffrey P. Hoover · Ecology · 2003 · 335 citations
Life Sciences, Ecology, Zoology +17
Finite-time Analysis of the Multi-armed Bandit Problem
2000 · 311 citations
1–5 of 86
230
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The University of Texas MD Anderson Cancer Center, United States
2 publications · 86 citations
2
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1–5 of 230
147

University of St Andrews
St Andrews, United Kingdom
4 h-index
9 publications
1.8K citations

University of Naples Federico II
Naples, Italy
3 h-index
5 publications
198 citations
University of Michigan
Ann Arbor, United States
3 h-index
5 publications
746 citations
Max Planck Institute for Human Development
Berlin, Germany
2 h-index
3 publications
217 citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
3 publications
70 citations
Aalto University
Espoo, Finland
2 h-index
2 publications
127 citations
Harvard University
Cambridge, United States
2 h-index
2 publications
30 citations
Ifo Institute for Economic Research
Munich, Germany
2 h-index
2 publications
127 citations
1–8 of 147
AN · 3 publications · 139 citations
3
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2 publications · 77 citations
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JBS · 2 publications · 27 citations
2
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2 publications · 384 citations
2
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2 publications · 57 citations
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