Bayesian Dose-finding
Bayesian Dose-Finding is a statistical methodology within clinical trial design that uses Bayesian inference to sequentially update the probability of dose-toxicity and dose-efficacy relationships, thereby identifying an optimal dose by synthesizing accumulating trial data with prior knowledge.
127
Publications
7.5K
Citations
359
Authors
195
Institutions
Publications per year
2017–2026
36
Variants
Bayesian Dose-finding Design
Parents
127
Dose‐Finding Based on Efficacy–Toxicity Trade‐Offs
Peter F. Thall, John D. Cook · Biometrics · 2004 · 510 citations
A modified toxicity probability interval method for dose-finding trials
Yuan Ji, Ping Liu, Yisheng Li et al. · Clinical Trials · 2010 · 273 citations · Full text
1–5 of 127
359
The University of Texas MD Anderson Cancer Center, United States
23 publications · 1.8K citations
18
h-index
The University of Texas MD Anderson Cancer Center, United States
13 publications · 1.4K citations
13
h-index
10
h-index
9
h-index
9
h-index
1–5 of 359
195
The University of Texas MD Anderson Cancer Center
Houston, United States
31 h-index
134 publications
10K citations
Inserm
Paris, France
11 h-index
33 publications
944 citations
Université Paris Cité
Paris, France
11 h-index
36 publications
937 citations

Sorbonne Université
Paris, France
11 h-index
21 publications
714 citations

Kyoto University
Kyoto, Japan
7 h-index
7 publications
238 citations
Novartis (Switzerland)
Basel, Switzerland
7 h-index
20 publications
1.8K citations
Centre de Recherche des Cordeliers
Paris, France
7 h-index
13 publications
459 citations
Louisiana State University
Baton Rouge, United States
5 h-index
5 publications
179 citations
1–8 of 195
27 publications · 1.4K citations
20
h-index
15 publications · 1.9K citations
15
h-index
JBS · 11 publications · 440 citations
11
h-index
9 publications · 833 citations
9
h-index
8 publications · 300 citations
8
h-index
1–5