A simple method for inference on an overall effect in meta-analysis

被引：40
作者：
Brockwell, Sarah E.
Gordon, Ian R. [1 ]
机构：
[1] Univ Melbourne, Dept Math & Stat, Ctr Stat Consulting, Melbourne, Vic 3010, Australia
[2] Univ Pittsburgh, Grad Sch Publ Hlth, Pittsburgh, PA 15261 USA
来源：
STATISTICS IN MEDICINE | 2007年 / 26卷 / 25期
关键词：
meta-analysis; random effects; coverage properties; ACUTE MYOCARDIAL-INFARCTION; HETEROGENEITY; MAGNESIUM; TRIALS; CANCER;
D O I：
10.1002/sim.2883
中图分类号：
Q [生物科学];
学科分类号：
07 ; 0710 ; 09 ;
摘要：
The random effects approach in meta-analysis due to DerSimonian and Laird is well established and used pervasively. It has been established by Brockwell and Gordon that this method, when used for confidence intervals, leads to coverage probabilities lower than the nominal value. A number of alternatives have been proposed, but these either have the defect of iterative and complicated calculation, or deficient coverage. In this paper we propose a new approach, which is simple to use, and has coverage probabilities better than the alternatives, based on extensive simulation. We call this approach the 'quantile approximation' method. Copyright (C) 2007 John Wiley & Sons, Ltd.
引用
收藏
页码：4531 / 4543
页数：13
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