期刊
JOURNAL OF BIOPHARMACEUTICAL STATISTICS
卷 19, 期 3, 页码 469-484出版社
TAYLOR & FRANCIS INC
DOI: 10.1080/10543400902802409
关键词
Bayesian inference; Covariates; Dose-escalation; Drug-combination; Logistic regression; Maximum tolerated dose; Oncology
A Bayesian approach to finding the maximum tolerated dose (MTD) is presented. The approach is flexible, allowing inclusion of covariates, and enables transparent dose recommendations based on comprehensive inferential summaries on the probability of dose-limiting toxicities (DLT). A case study is presented for a Phase I combination of two oncology drugs, nilotinib and imatinib. Data obtained and decisions made during the study are described. Final determination of the MTD pair is outlined, along with discussion regarding the use and interpretability of within- and end-of-study data.
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