A novel framework of Bayesian optimal interval design for phase I trials with late-onset toxicities-Reference-Cited by-同舟云学术

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A novel framework of Bayesian optimal interval design for phase I trials with late-onset toxicities

Published:2021-06 Issue: Volume:105 Page:106404
ISSN:1551-7144
Container-title:Contemporary Clinical Trials
language:en
Short-container-title:Contemporary Clinical Trials

Author:

Zhou Heng,Chen Cong,Sun Linda,Zeng Zhen

Publisher

Elsevier BV

Subject

Pharmacology (medical),General Medicine

Reference17 articles.

1. Guideline on the Evaluation of Anticancer Medicinal Products in Man;Committee for Medicinal Products for Human Use,2016

2. Expansion Cohorts: Use in First-in-human Clinical Trials to Expedite Development of Oncology Drugs and Biologics Guidance for Industry;US Food and Drug Administration,2018

3. Cumulative toxicity in targeted therapies: what to expect at the recommended phase II dose;Altzerinakou;J. Natl. Cancer Inst.,2019

4. Continual reassessment method: a practical design for phase I clinical trials in cancer;O’Quigley;Biometrics,1990

5. Cancer phase I clinical trials: efficient dose escalation with overdose control;Babb;Stat. Med.,1998

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1. T3 + 3: 3 + 3 Design With Delayed Outcomes;Pharmaceutical Statistics;2024-06-25

2. Dose optimization for cancer treatments with considerations for late-onset toxicities;Clinical Trials;2024-04-09

3. Phase I Designs for Late-Onset Toxicity;Bayesian Adaptive Design for Immunotherapy and Targeted Therapy;2023

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