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贝叶斯适应性试验在比较有效性试验中具有优势:癫痫持续状态的一个实例。

Bayesian adaptive trials offer advantages in comparative effectiveness trials: an example in status epilepticus.

机构信息

Berry Consultants, 4301 Westbank Dr, Suite 140, Bldg B, Austin, TX 78746, USA.

出版信息

J Clin Epidemiol. 2013 Aug;66(8 Suppl):S130-7. doi: 10.1016/j.jclinepi.2013.02.015.

DOI:10.1016/j.jclinepi.2013.02.015
PMID:23849147
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3743558/
Abstract

OBJECTIVE

We present a novel Bayesian adaptive comparative effectiveness trial comparing three treatments for status epilepticus that uses adaptive randomization with potential early stopping.

STUDY DESIGN AND SETTING

The trial will enroll 720 unique patients in emergency departments and uses a Bayesian adaptive design.

RESULTS

The trial design is compared to a trial without adaptive randomization and produces an efficient trial in which a higher proportion of patients are likely to be randomized to the most effective treatment arm while generally using fewer total patients and offers higher power than an analogous trial with fixed randomization when identifying a superior treatment.

CONCLUSION

When one treatment is superior to the other two, the trial design provides better patient care, higher power, and a lower expected sample size.

摘要

目的

我们提出了一种新颖的贝叶斯自适应比较有效性试验,该试验比较了三种治疗癫痫持续状态的方法,采用了具有潜在早期停止的自适应随机化。

研究设计和设置

该试验将在急诊科招募 720 名独特的患者,并采用贝叶斯自适应设计。

结果

试验设计与没有自适应随机化的试验进行了比较,并产生了一种高效的试验,其中更多的患者可能被随机分配到最有效的治疗组,同时通常使用更少的总患者,并在确定优越的治疗方法时提供比固定随机化更高的功效。

结论

当一种治疗方法优于其他两种方法时,试验设计可以提供更好的患者护理、更高的功效和更低的预期样本量。

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