Understanding Variation in Sets of N-of-1 Trials.

Understanding Variation in Sets of N-of-1 Trials.
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DOI:
10.1371/journal.pone.0167167
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发表时间:
2016
期刊:
影响因子:
3.7
通讯作者:
Senn S
Senn S
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Araujo A;Julious S;Senn S

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Chen 和 Chen 最近在该杂志上发表的一篇论文使用计算机模拟来检验多种分析 n-of-1 试验集的方法。我们使用更加理论化的方法来检查此类设计,该方法基于考虑分析目的和设计所使用的随机化结构。我们表明,不同的目的需要不同的分析,而这些分析又可能产生完全不同的结果。当目的是检验治疗严格平等的零假设时,我们采用的随机化方法利用了内尔德的一般平衡理论。然而,如果目的是推断对个体患者的影响,我们表明需要一个混合模型。固定效应荟萃分析和随机效应荟萃分析之间的差异有很强的相似之处,对此进行了讨论。
A recent paper in this journal by Chen and Chen has used computer simulations to examine a number of approaches to analysing sets of n-of-1 trials. We have examined such designs using a more theoretical approach based on considering the purpose of analysis and the structure as regards randomisation that the design uses. We show that different purposes require different analyses and that these in turn may produce quite different results. Our approach to incorporating the randomisation employed when the purpose is to test a null hypothesis of strict equality of the treatment makes use of Nelder’s theory of general balance. However, where the purpose is to make inferences about the effects for individual patients, we show that a mixed model is needed. There are strong parallels to the difference between fixed and random effects meta-analyses and these are discussed.
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发表时间: 2013-08
影响因子: 7.2
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