期刊
STATISTICS IN MEDICINE
卷 28, 期 2, 页码 338-348出版社
JOHN WILEY & SONS LTD
DOI: 10.1002/sim.3487
关键词
meta-analysis random effects model; quantile approximation method
类别
资金
- UK Medical Research Council [U.1052.00.006, U.1052.00.001]
- MRC [MC_U105260558] Funding Source: UKRI
- Medical Research Council [MC_U105260558] Funding Source: researchfish
The quantile approximation method has recently been proposed as a simple method for deriving confidence intervals for the treatment effect in a random effects meta-analysis. Although easily implemented, the quantiles used to construct intervals are derived front a single simulation study. Here it is shown that altering the study parameters, and in particular introducing changes to the distribution of the within-study variances, can have a dramatic impact on the resulting quantiles. This is further illustrated analytically by examining the scenario where all trials are assumed to be the same size. A more Cautious approach is therefore suggested, where the conventional standard normal quantile is used in the primary analysis, but where the use of alternative quantiles is also considered in a sensitivity analysis. Copyright (C) 2008 John Wiley & Sons, Ltd.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据