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Operating characteristics of a rank correlation test for publication bias

karmarks 添加于 2013-3-16 19:13 | 1872 次阅读 | 0 个评论

作者
Begg CB, Mazumdar M
摘要
An adjusted rank correlation test is proposed as a technique for identifying publication bias in a meta-analysis, and its operating characteristics are evaluated via simulations. The test statistic is a direct statistical analogue of the popular \"funnel-graph.\" The number of component studies in the meta-analysis, the nature of the selection mechanism, the range of variances of the effect size estimates, and the true underlying effect size are all observed to be influential in determining the power of the test. The test is fairly powerful for large meta-analyses with 75 component studies, but has only moderate power for meta-analyses with 25 component studies. However, in many of the configurations in which there is low power, there is also relatively little bias in the summary effect size estimate. Nonetheless, the test must be interpreted with caution in small meta-analyses. In particular, bias cannot be ruled out if the test is not significant. The proposed technique has potential utility as an exploratory tool for meta-analysts, as a formal procedure to complement the funnel-graph.
详细资料
- 关键词: *Bias (Epidemiology); Case-Control Studies; Chlamydia Infections/epidemiology; Chlorine; Contraceptives, Oral; Female; Humans; Lung Neoplasms/epidemiology; Mathematics; Meta-Analysis as Topic; *Models, Statistical; Neoplasms/epidemiology; Odds Ratio; *Publishing; Tobacco Smoke Pollution/adverse effects; Water Supply
- 文献种类: Journal Article
- 期刊名称: Biometrics
- 期刊缩写: Biometrics
- 期卷页: 1994年第50卷第4期 1088-1101页
- 地址: Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York 10021
- ISBN: 0006-341X
学科领域生物医药 » 预防卫生学
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