Quantifying systematic heterogeneity in meta-analysis using R. The M statistic aggregates heterogeneity information across multiple variants to, identify systematic heterogeneity patterns and their direction of effect in meta-analysis. It's primary use is to identify outlier studies, which either show "null" effects or consistently show stronger or weaker genetic effects than average across, the panel of variants examined in a GWAS meta-analysis. In contrast to conventional heterogeneity metrics (Q-statistic, I-squared and tau-squared) which measure random heterogeneity at individual variants, M measures systematic (non-random) heterogeneity across multiple independently associated variants. Systematic heterogeneity can arise in a meta-analysis due to differences in the study characteristics of participating studies. Some of the differences may include: ancestry, allele frequencies, phenotype definition, age-of-disease onset, family-history, gender, linkage disequilibrium and quality control thresholds. See <https://magosil86.github.io/getmstatistic/> for statistical statistical theory, documentation and examples.
Version: 0.2.2 Depends: R (≥ 3.1.0) Imports: ggplot2 (≥ 1.0.1), gridExtra (≥ 0.9.1), gtable (≥ 0.1.2), metafor (≥ 1.9-6), psych (≥ 1.5.1), stargazer (≥ 5.1) Suggests: foreign (≥ 0.8-62), knitr (≥ 1.10.5), testthat, covr, rmarkdown Published: 2021-05-09 DOI: 10.32614/CRAN.package.getmstatistic Author: Lerato E Magosi [aut], Jemma C Hopewell [aut], Martin Farrall [aut], Lerato E Magosi [cre] Maintainer: Lerato E Magosi <magosil86 at gmail.com> BugReports: https://github.com/magosil86/getmstatistic/issues License: MIT + file LICENSE URL: https://magosil86.github.io/getmstatistic/ NeedsCompilation: no Citation: getmstatistic citation info Materials: NEWS In views: MetaAnalysis CRAN checks: getmstatistic results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=getmstatistic to link to this page.
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