An alternative pseudolikelihood method for multivariate random-effects meta-analysis
An alternative pseudolikelihood method for multivariate random-effects meta-analysis
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DOI：
10.1002/sim.6350
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发表时间：
2015-02-10
影响因子：
2
通讯作者：
Riley, Richard D.
中科院分区：
文献类型：
--
作者：
Chen, Yong;Hong, Chuan;Riley, Richard D.
最近，多变量随机效应荟萃分析模型受到了极大的关注，尽管它比单变量荟萃分析更复杂。它的优点之一是能够解释研究内和研究间的相关性。然而，标准的推断程序，如最大似然或最大限制似然推断，需要研究内的相关性，这通常是不可用的。此外，标准的推断程序遭受奇异估计协方差矩阵的问题。在本文中，我们提出了一个伪的IKETOWN方法来克服上述问题。该方法不需要研究内的相关性，也不容易出现奇异协方差矩阵问题。此外，它可以正确估计不同结局的合并估计值之间的协方差，这使得对合并估计值的函数进行有效推断成为可能，并且可以应用于某些研究的结局完全随机缺失的荟萃分析。仿真研究表明，伪随机方法提供了无偏估计的功能的合并估计，估计良好的标准误差，并具有良好的覆盖概率的置信区间。此外，pseudolikestrine方法被发现保持较高的相对效率相比，与已知的研究内相关性的标准推断。我们通过三个荟萃分析来说明所提出的方法，用于比较前列腺癌治疗、对氧磷酶1活性与冠心病之间的关联以及同型半胱氨酸水平与冠心病之间的关联。(c)2014作者出版社：John Wiley & Sons Ltd
Recently, multivariate random-effects meta-analysis models have received a great deal of attention, despite its greater complexity compared to univariate meta-analyses. One of its advantages is its ability to account for the within-study and between-study correlations. However, the standard inference procedures, such as the maximum likelihood or maximum restricted likelihood inference, require the within-study correlations, which are usually unavailable. In addition, the standard inference procedures suffer from the problem of singular estimated covariance matrix. In this paper, we propose a pseudolikelihood method to overcome the aforementioned problems. The pseudolikelihood method does not require within-study correlations and is not prone to singular covariance matrix problem. In addition, it can properly estimate the covariance between pooled estimates for different outcomes, which enables valid inference on functions of pooled estimates, and can be applied to meta-analysis where some studies have outcomes missing completely at random. Simulation studies show that the pseudolikelihood method provides unbiased estimates for functions of pooled estimates, well-estimated standard errors, and confidence intervals with good coverage probability. Furthermore, the pseudolikelihood method is found to maintain high relative efficiency compared to that of the standard inferences with known within-study correlations. We illustrate the proposed method through three meta-analyses for comparison of prostate cancer treatment, for the association between paraoxonase 1 activities and coronary heart disease, and for the association between homocysteine level and coronary heart disease. (c) 2014 The Authors. Statistics in Medicine Published by John Wiley & Sons Ltd.