Model-based Dose Escalation
Model-Based Dose Escalation is a dose-finding methodology in clinical trial design that uses statistical models to guide the escalation of drug dosage by continuously estimating the relationship between dose levels and toxicity outcomes.
92
Publications
4.2K
Citations
376
Authors
187
Institutions
Publications per year
2017–2026
43
Variants
Model-based Dose Finding
Parents
92
Time-to-Event Bayesian Optimal Interval Design to Accelerate Phase I Trials
Ying Yuan, Ruitao Lin, Daniel Li et al. · Clinical Cancer Research · 2018 · 128 citations · Full text
1–5 of 92
376
The University of Texas MD Anderson Cancer Center, United States
8 publications · 607 citations
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4
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4
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1–5 of 376
187
The University of Texas MD Anderson Cancer Center
Houston, United States
14 h-index
33 publications
2.1K citations
Lancaster University
Lancaster, United Kingdom
8 h-index
19 publications
447 citations
MRC Biostatistics Unit
Cambridge, United Kingdom
6 h-index
9 publications
461 citations
Columbia University
New York, United States
5 h-index
11 publications
342 citations
University of Chicago
Chicago, United States
5 h-index
6 publications
251 citations
Center for Drug Evaluation and Research
Silver Spring, United States
5 h-index
11 publications
1K citations
KU Leuven
Leuven, Belgium
5 h-index
15 publications
476 citations
Cancer Research UK Clinical Trials Unit
Birmingham, United Kingdom
4 h-index
8 publications
431 citations
1–8 of 187
11 publications · 499 citations
11
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JBS · 6 publications · 151 citations
6
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5 publications · 206 citations
5
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4 publications · 326 citations
4
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3 publications · 170 citations
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