Meta-analyses of safety data: a comparison of exact versus asymptotic methods
Meta-analyses of safety data: a comparison of exact versus asymptotic methods
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DOI：
10.1177/0962280208092559
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发表时间：
2009-08-01
影响因子：
2.3
通讯作者：
Wiebe, Natasha
中科院分区：
文献类型：
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作者：
Vandermeer, Ben;Bialy, Liza;Wiebe, Natasha
本研究的目的是建立和描述安全性数据的科克伦和非科克伦荟萃分析的数据库，并确定安全性数据荟萃分析中精确方法与渐近方法的不同条件。随机选择科克伦（n = 500）和非科克伦（n = 200）系统评价样本，建立安全性荟萃分析数据库。使用精确方法重新计算每个荟萃分析的点估计值和置信区间，并与渐近方法的结果进行比较。科克伦综述包含安全性荟萃分析数据的可能性是非科克伦综述的近4倍（35%比9%）。超过50%的安全性荟萃分析包含罕见事件发生率的结局（
The objectives of this study, were to establish and describe a database of Cochrane and non-Cochrane meta-analyses of safety data and to determine Under what conditions exact methods differ from asymptotic methods in meta-analyses of safety data. A sample of Cochrane (n = 500) and non-Cochrane (;n = 200) systematic reviews),vas randomly selected and a database of safety meta-analyses established. Point estimates and confidence intervals for each meta-analysis were recalculated Using exact methods an(] compared to the results Of asymptotic methods. Cochrane reviews were nearly four times as likely as non-Cochrane reviews to contain meta-analyses of safety; data (35% compared to 9%). More than 50% of safety, meta-analyses contained an outcome with a rare event rate (