Package: getmstatistic Title: Quantifying Systematic Heterogeneity in Meta-Analysis Version: 0.2.2 Authors@R: c( person("Lerato E", "Magosi", email = "lmagosi@well.ox.ac.uk", role = "aut",), person("Jemma C", "Hopewell", email = "jemma.hopewell@ndph.ox.ac.uk", role = "aut"), person("Martin", "Farrall", email = "mfarrall@well.ox.ac.uk", role = "aut"), person("Lerato E", "Magosi", email = "magosil86@gmail.com", role = "cre") ) Description: 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 for statistical statistical theory, documentation and examples. Depends: R (>= 3.1.0) License: MIT + file LICENSE URL: https://magosil86.github.io/getmstatistic/ BugReports: https://github.com/magosil86/getmstatistic/issues LazyData: true 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 RoxygenNote: 7.1.1 VignetteBuilder: knitr Repository: https://magosil86.r-universe.dev Date/Publication: 2021-05-08 22:10:29 UTC RemoteUrl: https://github.com/magosil86/getmstatistic RemoteRef: HEAD RemoteSha: b99b362abef3fcd1488da6912c12f8e5cce58ed5 NeedsCompilation: no Packaged: 2026-10-13 13:40:34 UTC; root Author: Lerato E Magosi [aut], Jemma C Hopewell [aut], Martin Farrall [aut], Lerato E Magosi [cre] Maintainer: Lerato E Magosi