Department of Statistical Sciences, University of Bologna, 40126 Bologna, Italy.
Int J Environ Res Public Health. 2021 Jan 10;18(2):530. doi: 10.3390/ijerph18020530.
This paper presents a brief overview of the recent literature on adaptive design of clinical trials from a Bayesian perspective for statistically not so sophisticated readers. Adaptive designs are attracting a keen interest in several disciplines, from a theoretical viewpoint and also-potentially-from a practical one, and Bayesian adaptive designs, in particular, have raised high expectations in clinical trials. The main conceptual tools are highlighted here, with a mention of several trial designs proposed in the literature that use these methods, including some of the registered Bayesian adaptive trials to this date. This review aims at complementing the existing ones on this topic, pointing at further interesting reading material.
本文简要综述了近年来贝叶斯视角下的临床试验自适应设计的文献,供统计学知识不是那么丰富的读者阅读。自适应设计正从理论和潜在实践两个角度引起多个学科的浓厚兴趣,尤其是贝叶斯自适应设计,在临床试验中寄予厚望。本文重点介绍了主要的概念工具,并提到了文献中提出的几种使用这些方法的试验设计,包括迄今为止已注册的一些贝叶斯自适应试验。本文旨在补充该主题的现有文献,指出更有趣的阅读材料。