Simple robust procedures for combining risk differences in sets of 2x2 tables
Simple robust procedures for combining risk differences in sets of 2x2 tables
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DOI：
10.1002/sim.4780151402
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发表时间：
1996-07-30
影响因子：
2
通讯作者：
Mosteller, F
中科院分区：
文献类型：
--
作者：
Emerson, JD;Hoaglin, DC;Mosteller, F
荟萃分析通常使用随机效应模型来纳入研究结果无法解释的异质性。针对风险差异的荟萃分析估计量的修剪版本，改编自为随机效应分析设计的程序，可以抵抗一些异常研究的影响。一项模拟研究比较了四种荟萃分析程序的未修剪和修剪版本，这些程序给出了风险差异的加权平均值。在估计变异性时，对方差分量的缩尾估计进行了调整，获得了对异常研究的一些抵抗力。模拟发现，当风险差异揭示随机效应模型所描述的附加变异性时，DerSimonian-Laird 估计量的修改版本很有吸引力，并且该过程的 20% 修剪加权版本可以抵抗高度异常结果的影响。在考虑的四个修剪程序中，修改后的 DerSimonian-Laird 估计器的修剪版本在各种模拟设计和样本大小中提供了最佳性能。没有一种方法，无论是修剪过的还是未修剪过的，都是一致优选的。一项已发表的结核病疫苗荟萃分析提供的数据可以说明八种程序之间的差异。
Meta-analyses often use a random-effects model to incorporate unexplained heterogeneity of study results. Trimmed versions of meta-analytic estimators for the risk difference, adapted from procedures designed for a random-effects analysis, can resist the impact of a few anomalous studies. A simulation study compared untrimmed and trimmed versions of four meta-analytic procedures that give weighted averages of risk differences. An adaptation of Winsorized estimates of components of variance gains some resistance to anomalous studies when estimating variability. The simulations found that a modified version of the DerSimonian-Laird estimator is attractive when risk differences reveal the added variability described by a random-effects model, and that a 20 per cent trimmed, weighted version of this procedure offers resistance against the impact of highly anomalous results. Among four trimmed procedures considered, the trimmed version of the modified DerSimonian-Laird estimator offers the best performance over a wide range of simulation designs and sample sizes. None of the methods, whether trimmed or untrimmed, is uniformly preferable. A published meta-analysis of a vaccination against TB provides data that serve to illustrate differences among the eight procedures.