Department of Emergency Medicine, Harbor-UCLA Medical Center, Torrance, CA 90509, USA.
Stat Med. 2013 Sep 20;32(21):3752-65. doi: 10.1002/sim.5807. Epub 2013 Apr 4.
Adaptive randomization is used in clinical trials to increase statistical efficiency. In addition, some clinicians and researchers believe that using adaptive randomization leads necessarily to more ethical treatment of subjects in a trial. We develop Bayesian, decision-theoretic, clinical trial designs with response-adaptive randomization and a primary goal of estimating treatment effect and then contrast these designs with designs that also include in their loss function a cost for poor subject outcome. When the loss function did not incorporate a cost for poor subject outcome, the gains in efficiency from response-adaptive randomization were accompanied by ethically concerning subject allocations. Conversely, including a cost for poor subject outcome demonstrated a more acceptable balance between the competing needs in the trial. A subsequent, parallel set of trials designed to control explicitly types I and II error rates showed that much of the improvement achieved through modification of the loss function was essentially negated. Therefore, gains in efficiency from the use of a decision-theoretic, response-adaptive design using adaptive randomization may only be assumed to apply to those goals that are explicitly included in the loss function. Trial goals, including ethical ones, which do not appear in the loss function, are ignored and may even be compromised; it is thus inappropriate to assume that all adaptive trials are necessarily more ethical. Controlling types I and II error rates largely negates the benefit of including competing needs in favor of the goal of parameter estimation.
适应性随机化在临床试验中被用于提高统计效率。此外,一些临床医生和研究人员认为,使用适应性随机化必然会导致试验中对受试者的治疗更加合乎伦理。我们开发了具有反应适应性随机化的贝叶斯、决策理论临床试验设计,其主要目标是估计治疗效果,然后将这些设计与也将不良受试者结局的成本纳入损失函数的设计进行对比。当损失函数不包含不良受试者结局的成本时,反应适应性随机化的效率提高伴随着伦理上令人担忧的受试者分配。相反,纳入不良受试者结局的成本展示了在试验中的竞争需求之间更可接受的平衡。随后,一组平行设计旨在明确控制 I 类和 II 类错误率,结果表明,通过修改损失函数所获得的大部分改进实际上被否定了。因此,通过使用决策理论、基于反应的自适应设计和自适应随机化来提高效率,可能只能假定适用于那些明确包含在损失函数中的目标。损失函数中未出现的试验目标,包括伦理目标,将被忽略甚至可能受到损害;因此,不能假设所有适应性试验都必然更符合伦理。控制 I 类和 II 类错误率在很大程度上否定了将竞争需求纳入有利于参数估计目标的好处。