Extending inferences from a randomized trial to a target population
Extending inferences from a randomized trial to a target population
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DOI：
10.1007/s10654-019-00533-2
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发表时间：
2019-08-01
影响因子：
13.6
通讯作者：
Hernan, Miguel A.
中科院分区：
文献类型：
--
作者：
Dahabreh, Issa J.;Hernan, Miguel A.
在本期中，Weiss讨论了将随机试验的推论“推广”到其他人群[1]。然而，他并没有明确定义什么是“泛化”，他假设“泛化”随机试验的结果只有一个目的，并将泛化能力简化为二元主观判断--研究结果要么可以泛化，要么不可泛化。越来越多的文献(例如，[1-13])准确地定义了将推论从随机试验扩展到另一个总体的几个含义和目标，并描述了其结果超出简单二元判断的分析。在这里，我们提供此文献的非技术性概述。首先，我们简要回顾了主要概念，然后概述了现有的研究设计和统计方法。
In this issue, Weiss discusses “generalizing” inferences from randomized trials to other populations [1]. However, he does not explicitly define what “generalizing” means, assumes that “generalizing” the results of a randomized trial has a single goal, and reduces generalizability to a binary subjective judgment—findings are either generalizable or not generalizable. A growing literature (eg,[1–13]) precisely defines the several meanings and goals of extending inferences from randomized trials to another population, and describes analyses whose findings go beyond simple binary judgements. Here, we provide a non-technical overview of this literature. First, we briefly review the main concepts, then we outline the available study designs and statistical approaches.