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Meta-analysis is widely used to summarize estimated effects sizes across multiple statistical tests. Standard fixed and random effect meta-analysis methods assume that the estimated of the effect sizes are statistically independent. Here we relax this assumption and enable meta-analysis when the correlation matrix between effect size estimates is known. Fixed effect meta-analysis uses the method of Lin and Sullivan (2009), and random effects meta-analysis uses the method of Han, et al. 2016.
# Run fixed effects meta-analysis, accounting for correlation
LS( beta, stders, Sigma)
# Run random effects meta-analysis, accounting for correlation
RE2C( beta, stders, Sigma)These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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