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

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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 languageEnglish
Pages (from-to)286-296
Number of pages11
JournalJournal of Modern Applied Statistical Methods
Volume7
Issue number1
DOIs
StatePublished - May 2008

Keywords

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

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