Bayesian data augmentation dose finding with continual reassessment method and delayed toxicity

DOI10.1214/13-AOAS661zbMath1283.62053arXiv1401.1706OpenAlexW3100078220WikidataQ30795111 ScholiaQ30795111MaRDI QIDQ2441853

Ying Yuan, Guosheng Yin, Suyu Liu

Publication date: 28 March 2014

Published in: The Annals of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1401.1706

zbMATH Keywords

non-ignorable missing datalate-onset toxicityphase I clinical trialsBayesian adaptive design

Mathematics Subject Classification ID

Related Items (7)

Review of Statistical Treatment for Oncology Dose-Escalation Trial with Prolonged Evaluation Window or Fast Enrollment ⋮ Time-to-event continual reassessment method incorporating treatment cycle information with application to an oncology phase I trial ⋮ Application of gamma process to two-agent combinations with delayed toxicity ⋮ A Bayesian adaptive phase I/II clinical trial design with late‐onset competing risk outcomes ⋮ Bayesian data augmentation dose finding with continual reassessment method and delayed toxicity ⋮ A phase I-II basket trial design to optimize dose-schedule regimes based on delayed outcomes ⋮ BAGS: A Bayesian Adaptive Group Sequential Trial Design With Subgroup-Specific Survival Comparisons

Cites Work

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• Consistency of continual reassessment method under model misspecification
• Sequential Designs for Phase I Clinical Trials with Late‐Onset Toxicities
• Bayesian Model Averaging Continual Reassessment Method in Phase I Clinical Trials

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