A product of independent beta probabilities dose escalation design for dual-agent phase I trials.
A product of independent beta probabilities dose escalation design for dual-agent phase I trials.
复制标题
DOI:
10.1002/sim.6434
复制
发表时间:
2015-04-15
影响因子:
2
通讯作者:
Sweeting, Michael J.
中科院分区:
文献类型:
--
作者:
Mander, Adrian P.;Sweeting, Michael J.
Dual-agent trials are now increasingly common in oncology research, and many proposed dose-escalation designs are available in the statistical literature. Despite this, the translation from statistical design to practical application is slow, as has been highlighted in single-agent phase I trials, where a 3 + 3 rule-based design is often still used. To expedite this process, new dose-escalation designs need to be not only scientifically beneficial but also easy to understand and implement by clinicians. In this paper, we propose a curve-free (nonparametric) design for a dual-agent trial in which the model parameters are the probabilities of toxicity at each of the dose combinations. We show that it is relatively trivial for a clinician's prior beliefs or historical information to be incorporated in the model and updating is fast and computationally simple through the use of conjugate Bayesian inference. Monotonicity is ensured by considering only a set of monotonic contours for the distribution of the maximum tolerated contour, which defines the dose-escalation decision process. Varied experimentation around the contour is achievable, and multiple dose combinations can be recommended to take forward to phase II. Code for R, Stata and Excel are available for implementation. © 2015 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.
登录
查看更多内容
影响因子:
1.9
作者:
Wang, K;Ivanova, A
通讯作者:
Ivanova, A
影响因子:
1.9
作者:
O'Quigley, J;Paoletti, X
通讯作者:
Paoletti, X
DOI:
10.1111/j.1467-9876.2012.01054.x
发表时间:
2013-01-01
影响因子:
1.6
作者:
Gasparini, Mauro
通讯作者:
Gasparini, Mauro
影响因子:
2
作者:
Ivanova, Anastasia;Wang, Kai
通讯作者:
Wang, Kai
影响因子:
1.8
作者:
Braun, Thomas M.;Jia, Nan
通讯作者:
Jia, Nan