Measuring overall heterogeneity in meta-analyses: Application to csf biomarker studies in Alzheimer's disease

Chengjie Xiong; Feng Gao; Yan Yan; Jingqin Luo; Yun Ju Sung; Gang Shi

doi:10.22237/jmasm/1209615780

Measuring overall heterogeneity in meta-analyses: Application to csf biomarker studies in Alzheimer's disease

Chengjie Xiong, Feng Gao, Yan Yan, Jingqin Luo, Yun Ju Sung, Gang Shi

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Abstract

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.

Original language	English
Pages (from-to)	286-296
Number of pages	11
Journal	Journal of Modern Applied Statistical Methods
Volume	7
Issue number	1
DOIs	https://doi.org/10.22237/jmasm/1209615780
State	Published - May 2008

Keywords

Alzheimer's disease
Heterogeneity
Meta-analysis
Standard errors
Uncertainty interval

Access to Document

10.22237/jmasm/1209615780

Cite this

@article{0202df9dd5974762b66112b9ca122cdb,

title = "Measuring overall heterogeneity in meta-analyses: Application to csf biomarker studies in Alzheimer's disease",

abstract = "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.",

keywords = "Alzheimer's disease, Heterogeneity, Meta-analysis, Standard errors, Uncertainty interval",

author = "Chengjie Xiong and Feng Gao and Yan Yan and Jingqin Luo and Sung, {Yun Ju} and Gang Shi",

year = "2008",

month = may,

doi = "10.22237/jmasm/1209615780",

language = "English",

volume = "7",

pages = "286--296",

journal = "Journal of Modern Applied Statistical Methods",

issn = "1538-9472",

number = "1",

}

TY - JOUR

T1 - Measuring overall heterogeneity in meta-analyses

T2 - Application to csf biomarker studies in Alzheimer's disease

AU - Xiong, Chengjie

AU - Gao, Feng

AU - Yan, Yan

AU - Luo, Jingqin

AU - Sung, Yun Ju

AU - Shi, Gang

PY - 2008/5

Y1 - 2008/5

N2 - 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.

AB - 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.

KW - Alzheimer's disease

KW - Heterogeneity

KW - Meta-analysis

KW - Standard errors

KW - Uncertainty interval

UR - http://www.scopus.com/inward/record.url?scp=77950362078&partnerID=8YFLogxK

U2 - 10.22237/jmasm/1209615780

DO - 10.22237/jmasm/1209615780

M3 - Article

AN - SCOPUS:77950362078

SN - 1538-9472

VL - 7

SP - 286

EP - 296

JO - Journal of Modern Applied Statistical Methods

JF - Journal of Modern Applied Statistical Methods

IS - 1

ER -

Measuring overall heterogeneity in meta-analyses: Application to csf biomarker studies in Alzheimer's disease

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this