Meta-analysis combining parallel and cross-over clinical trials. I: Continuous outcomes
Meta-analysis combining parallel and cross-over clinical trials. I: Continuous outcomes
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DOI：
10.1002/sim.1205
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发表时间：
2002-08-15
影响因子：
2
通讯作者：
Elbourne, D
中科院分区：
文献类型：
--
作者：
Curtin, F;Altman, DG;Elbourne, D
在评估特定治疗的临床试验中，通常同时使用平行和交叉设计。在三篇系列论文的第一篇中，我们探讨了两种方法，以合并平行和交叉试验设计的荟萃分析的连续结果：加权平均差（WMD）和标准化加权平均差（SWMD）。组合设计元分析公式是基于两个设计处理估计的加权平均值。可以实现随机效应模型。WMD和SWMD都可以使用，方法的选择取决于试验中获得的结果类型。与纳入受试者的数量相比，在联合设计meta分析中，交叉设计的相对权重较大。WMD和SWMD之间的权重估计的差异也可以强调交叉试验的相对权重，这必须被视为设计特异性偏倚的情况。版权所有:John Wiley Sons, Ltd。
Among clinical trials assessing a given treatment, often parallel and cross-over designs are used together. In the first paper of a series of three, we explore two methods to pool continuous outcomes in a meta-analysis combining parallel and cross-over trial designs: the weighted mean difference (WMD) and the standardized weighted mean difference (SWMD). The combined design meta-analytic formulae are based on a weighted average of the two design treatment estimates. A random effects model can be implemented. Both WMD and SWMD can be used, the choice of the method is determined by the type of outcomes obtained in the trials. Compared to the number of included subjects, the relative weight of the cross-over design is large in combined-design meta-analysis. Differences in the weight estimation between WMD and SWMD can also accentuate the relative weight of cross-over trials, which must be considered a case of design-specific bias. Copyright (C) 2002 John Wiley Sons, Ltd.