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.
Xiong, Chengjie; Gao, Feng; Yan, Yan; Luo, Jingqin; Sung, YunJu; and Shi, Gang
"Measuring Overall Heterogeneity in Meta-Analyses: Application to CSF Biomarker Studies in Alzheimer’s Disease,"
Journal of Modern Applied Statistical Methods: Vol. 7
, Article 24.
Available at: http://digitalcommons.wayne.edu/jmasm/vol7/iss1/24