The binomial distribution of meta-analysis was preferred to model within-study variability
The binomial distribution of meta-analysis was preferred to model within-study variability
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DOI：
10.1016/j.jclinepi.2007.03.016
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发表时间：
2008-01-01
影响因子：
7.2
通讯作者：
Stijnen, Theo
中科院分区：
文献类型：
--
作者：
Hamza, Taye H.;van Houwelingen, Hans C.;Stijnen, Theo
目的：当研究报告敏感性或特异性等比例时，通常使用DerSimonian和Laird随机效应模型进行荟萃分析。该方法通过正态分布近似研究内比例的变异性，这可能会导致偏倚，原因有几个。或者，可以使用基于研究内二项分布的精确似然方法。这种方法可以很容易地在标准统计软件包中执行。我们调查的标准方法和替代approximates.Study设计和设置的性能：我们比较这两种方法，通过模拟研究，在偏差，均方误差，和覆盖概率。我们改变了总体敏感性或特异性的大小、研究间方差、研究内样本量和研究数量。使用发表的荟萃分析dataset.Results的方法进行说明：确切的似然方法总是比近似方法，并给出无偏估计。覆盖概率，特别是轮廓似然，也是合理可接受的。相比之下，近似的方法给出了巨大的偏差非常差的覆盖probability in many cases.Conclusion：确切的似然方法是首选的方法，应该在可行的情况下使用。(C)2008年爱思唯尔公司All rights reserved.
Objective: When studies report proportions such as sensitivity or specificity, it is customary to meta-analyze them using the DerSimonian and Laird random effects model. This method approximates the within-study variability of the proportion by a normal distribution, which may lead to bias for several reasons. Alternatively an exact likelihood approach based on the binomial within-study distribution can be used. This method can easily be performed in standard statistical packages. We investigate the performance of the standard method and the alternative approach.Study Design and Setting: We compare the two approaches through a simulation study, in terms of bias, mean-squared error, and coverage probabilities. We varied the size of the overall sensitivity or specificity, the between-studies variance, the within-study sample sizes, and the number of studies. The methods are illustrated using a published meta-analysis data set.Results: The exact likelihood approach performs always better than the approximate approach and gives unbiased estimates. The coverage probability, in particular for the profile likelihood, is also reasonably acceptable. In contrast, the approximate approach gives huge bias with very poor coverage probability in many cases.Conclusion: The exact likelihood approach is the method of preference and should be used whenever feasible. (C) 2008 Elsevier Inc. All rights reserved.