Adaptive prior variance calibration in the Bayesian continual reassessment method.

Abstract:

:The use of the continual reassessment method (CRM) and other model-based approaches to design Phase I clinical trials has increased owing to the ability of the CRM to identify the maximum tolerated dose better than the 3 + 3 method. However, the CRM can be sensitive to the variance selected for the prior distribution of the model parameter, especially when a small number of patients are enrolled. Although methods have emerged to adaptively select skeletons and to calibrate the prior variance only at the beginning of a trial, there has not been any approach developed to adaptively calibrate the prior variance throughout a trial. We propose three systematic approaches to adaptively calibrate the prior variance during a trial and compare them via simulation with methods proposed to calibrate the variance at the beginning of a trial.

journal_name

Stat Med

journal_title

Statistics in medicine

authors

Zhang J,Braun TM,Taylor JM

doi

10.1002/sim.5621

subject

Has Abstract

pub_date

2013-06-15 00:00:00

pages

2221-34

issue

13

eissn

0277-6715

issn

1097-0258

journal_volume

32

pub_type

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