Random-effects model for meta-analysis of clinical trials: An update
Random-effects model for meta-analysis of clinical trials: An update
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DOI：
10.1016/j.cct.2006.04.004
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发表时间：
2007-02-01
影响因子：
2.2
通讯作者：
Kacker, Raghu
中科院分区：
文献类型：
--
作者：
DerSimonian, Rebecca;Kacker, Raghu
随机效应模型常用于临床研究的荟萃分析。该方法通过代表研究间变异的统计参数明确说明了研究的异质性。我们讨论了几种迭代和非迭代的替代方法，用于估计研究间方差，从而估计总体人群的治疗效果。我们发现，估计研究间方差的主要方法是研究间方差的一般矩估计法的特殊情况。一般方法提出了两种新的两步法。迭代估计在统计上是最优的，并且可以在大多数研究人员的桌面上提供的电子表格程序（例如Microsoft Excel）上轻松计算。两步方法比早期的一步非迭代方法更接近最优迭代方法。(c)2006年爱思唯尔公司All rights reserved.
The random-effects model is often used for meta-analysis of clinical studies. The method explicitly accounts for the heterogeneity of studies through a statistical parameter representing the inter-study variation. We discuss several iterative and non-iterative alternative methods for estimating the inter-study variance and hence the overall population treatment effect. We show that the leading methods for estimating the inter-study variance are special cases of a general method-of-moments estimate of the inter-study variance. The general method suggests two new two-step methods. The iterative estimate is statistically optimal and it can be easily calculated on a spreadsheet program, such as Microsoft Excel, available on the desktop of most researchers. The two-step methods approximate the optimal iterative method better than the earlier one-step non-iterative methods. (c) 2006 Elsevier Inc. All rights reserved.