Meta-analysis of prevalence
Meta-analysis of prevalence
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DOI：
10.1136/jech-2013-203104
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发表时间：
2013-11-01
影响因子：
6.3
通讯作者：
Vos, Theo
中科院分区：
文献类型：
--
作者：
Barendregt, Jan J.;Doi, Suhail A.;Vos, Theo
荟萃分析是一种获得各种研究结果的加权平均值的方法。除了合并效应量外，荟萃分析还可用于估计疾病频率，如发病率和患病率。在这篇文章中，我们提出了流行率的荟萃分析方法。我们讨论了logit和双反正弦变换来稳定方差。我们注意到多类别流行的特殊情况，并提出解决问题的方法。我们描述了这些方法在MetaXL软件中的实现，并提出了一个模拟研究和2010年全球疾病负担项目中多发性硬化症的例子。我们的结论是，双反正弦变换是首选的logit，和MetaXL实施多类别患病率是一种改进的方法的荟萃分析患病率。
Meta-analysis is a method to obtain a weighted average of results from various studies. In addition to pooling effect sizes, meta-analysis can also be used to estimate disease frequencies, such as incidence and prevalence. In this article we present methods for the meta-analysis of prevalence. We discuss the logit and double arcsine transformations to stabilise the variance. We note the special situation of multiple category prevalence, and propose solutions to the problems that arise. We describe the implementation of these methods in the MetaXL software, and present a simulation study and the example of multiple sclerosis from the Global Burden of Disease 2010 project. We conclude that the double arcsine transformation is preferred over the logit, and that the MetaXL implementation of multiple category prevalence is an improvement in the methodology of the meta-analysis of prevalence.