Measuring Overall Heterogeneity in Meta-Analyses: Application to CSF Biomarker Studies in Alzheimer's Disease

被引：0

作者：

Xiong, Chengjie ^{[1
]}

Gao, Feng ^{[1
]}

Yan, Yan ^{[1
,2
]}

Luo, Jingqin ^{[1
]}

Sung, YunJu ^{[1
]}

Shi, Gang ^{[1
]}

机构：

[1] Washington Univ, Div Biostat, St Louis, MO 63110 USA

[2] Washington Univ, Dept Surg, St Louis, MO 63110 USA

来源：

JOURNAL OF MODERN APPLIED STATISTICAL METHODS | 2008年 / 7卷 / 01期

关键词：

Alzheimer's disease; heterogeneity; meta-analysis; standard errors; uncertainty interval;

D O I：

暂无

中图分类号：

O21 [概率论与数理统计]; C8 [统计学];

学科分类号：

020208 ; 070103 ; 0714 ;

摘要：

The interpretations of statistical inferences from meta-analyses depend on the degree of heterogeneity in the meta-analyses. Several new indices of heterogeneity in meta-analyses are proposed, and assessed the variation/difference of these indices through a large simulation study. The proposed methods are applied to biomakers of Alzheimer's disease.

引用

页码：286 / 296

页数：11

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