Bayesian optimization design for dose‐finding based on toxicity and efficacy outcomes in phase I/ II clinical trials-Reference-Cited by-同舟云学术

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Bayesian optimization design for dose‐finding based on toxicity and efficacy outcomes in phase I/ II clinical trials

Published:2020-11-30 Issue:3 Volume:20 Page:422-439
ISSN:1539-1604
Container-title:Pharmaceutical Statistics
language:en
Short-container-title:Pharmaceutical Statistics

Author:

Takahashi Ami¹²^ORCID,Suzuki Taiji³⁴

Affiliation:

1. Department of Mathematical and Computing Science, School of Computing Tokyo Institute of Technology Tokyo Japan

2. Biometrics and Data Management, Clinical Statistics, Pfizer R&D Japan Tokyo Japan

3. Department of Mathematical Informatics, Graduate School of Information Science and Technology The University of Tokyo Tokyo Japan

4. Center for Advanced Intelligence Project, RIKEN Tokyo Japan

Publisher

Wiley

Subject

Pharmacology (medical),Pharmacology,Statistics and Probability

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/pst.2085

Reference35 articles.

1. Model-based phase I designs incorporating toxicity and efficacy for single and dual agent drug combinations: Methods and challenges

2. A trivariate continual reassessment method for phase I/II trials of toxicity, efficacy, and surrogate efficacy

3. Continual Reassessment Method: A Practical Design for Phase 1 Clinical Trials in Cancer

4. The bivariate continual reassessment method

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4. Mathematical Modelling for Optimal Vaccine Dose Finding: Maximising Efficacy and Minimising Toxicity;Vaccines;2022-05-11

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