remaCor

CRANremaCorMaRDI QIDQ89912

Random Effects Meta-Analysis for Correlated Test Statistics

Gabriel Hoffman

Last update: 8 February 2024

Copyright license: Artistic License 2.0

Software version identifier: 0.0.11, 0.0.9, 0.0.16, 0.0.18

Description

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) <doi:10.1016/j.ajhg.2009.11.001>, and random effects meta-analysis uses the method of Han, et al. <doi:10.1093/hmg/ddw049>.

Cites work

• Meta-Analysis of Genome-wide Association Studies with Overlapping Subjects
• A general framework for meta-analyzing dependent studies with overlapping subjects in association mapping

This page was built for software: remaCor