A note on bounds for the causal infectiousness effect in vaccine trials
A note on bounds for the causal infectiousness effect in vaccine trials
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DOI：
10.1016/j.spl.2012.04.002
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发表时间：
2012-07-01
影响因子：
0.8
通讯作者：
Chiba, Yasutaka
中科院分区：
文献类型：
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作者：
Chiba, Yasutaka
在疫苗试验中，一个人的疫苗接种可能会防止另一个人的感染。这种依赖性使得很难估计疫苗对感染的影响。为了解决这个问题，我们讨论了因果推理和主要分层框架。然而，遗憾的是，目前还没有建立标准方法来估计因果传染效应（CIE）。最近，在每户两个人的情况下，据报道，在两个合理的假设下，粗略估计量成为CIE的上界。在这里，我们通过加强这两个假设之一来提出CIE的下限。(C) 2012 Elsevier B.V.版权所有
In vaccine trials, the vaccination of one person might prevent the infection of another. This dependency makes it difficult to estimate the effect of a vaccine on infection. To deal with this issue, causal inference along with a principal stratification framework has been discussed. Unfortunately, however, no standard method has been established for estimating the causal infectiousness effect (CIE). Recently, in a setting of two persons per household, it has been reported that the crude estimator becomes the upper bound of the CIE under two plausible assumptions. Here, we present the lower bound for the CIE by strengthening one of these two assumptions. (C) 2012 Elsevier B.V. All rights reserved.