Adaptive Dose-finding
Adaptive Dose-Finding is a sequential experimental methodology in clinical trial design that iteratively adjusts dosage levels for subsequent participants based on accumulating responses, distinguishing itself by its use of real-time data adaptation to identify an optimal therapeutic dose.
171
Publications
9.7K
Citations
745
Authors
358
Institutions
Publications per year
2017–2026
38
Parents
171
Jeong Heo, Tony Reid, Leyo Ruo et al. · Nature Medicine · 2013 · 776 citations · Full text
Medicine, Immunology, Oncology +16
Dose‐Finding Based on Efficacy–Toxicity Trade‐Offs
Peter F. Thall, John D. Cook · Biometrics · 2004 · 510 citations
1–5 of 171
745
The University of Texas MD Anderson Cancer Center, United States
16 publications · 1.2K citations
14
h-index
The University of Texas MD Anderson Cancer Center, United States
10 publications · 1.1K citations
10
h-index
8
h-index
8
h-index
8
h-index
1–5 of 745
358
The University of Texas MD Anderson Cancer Center
Houston, United States
26 h-index
83 publications
5.4K citations
Eli Lilly (United States)
Indianapolis, United States
9 h-index
30 publications
1.9K citations
Pfizer (United States)
New York, United States
9 h-index
17 publications
1.3K citations
Columbia University
New York, United States
8 h-index
16 publications
1.2K citations
Novartis (Switzerland)
Basel, Switzerland
8 h-index
17 publications
1.1K citations
Berry & Associates (United States)
Dexter, United States
7 h-index
15 publications
584 citations
Inserm
Paris, France
6 h-index
16 publications
470 citations
Novartis (United States)
New York, United States
6 h-index
11 publications
1.1K citations
1–8 of 358
21 publications · 900 citations
19
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JBS · 15 publications · 957 citations
12
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10 publications · 726 citations
10
h-index
6 publications · 700 citations
6
h-index
5 publications · 179 citations
5
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1–5