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Commentary on “Improving the performance of Bayesian logistic regression model with overdose control in oncology dose‐finding studies”

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The Bayesian logistic regression model (BLRM) design is a variation of the continuous reassessment method (CRM). Due to the use of an excessively tight escalation with overdose control (EWOC) rule,… Click to show full abstract

The Bayesian logistic regression model (BLRM) design is a variation of the continuous reassessment method (CRM). Due to the use of an excessively tight escalation with overdose control (EWOC) rule, BLRM has high tendency to underdose patients and low accuracy to identify the maximum tolerated dose (MTD). We congratulate Zhang, Chiang, and Wang—hereafter referred to as ZCW—for proposing elegant and practical approaches to addressing this important problem, and we thank the co-editor, Dr. Lisa McShane, for inviting our discussion.

Keywords: oncology; logistic regression; overdose control; bayesian logistic; regression model

Journal Title: Statistics in Medicine
Year Published: 2022

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