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getmstatistic

Quantifying Systematic Heterogeneity in Meta-Analysis

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.

Versions across snapshots

VersionRepositoryFileSize
0.2.2 rolling source/ R- getmstatistic_0.2.2.tar.gz 1.0 MiB
0.2.2 rolling linux/jammy R-4.5 getmstatistic_0.2.2.tar.gz 420.6 KiB
0.2.2 latest source/ R- getmstatistic_0.2.2.tar.gz 1.0 MiB
0.2.2 latest linux/jammy R-4.5 getmstatistic_0.2.2.tar.gz 420.6 KiB
0.2.2 2026-04-23 source/ R- getmstatistic_0.2.2.tar.gz 1.0 MiB
0.2.2 2026-04-09 windows/windows R-4.5 getmstatistic_0.2.2.zip 425.2 KiB
0.2.2 2025-04-20 source/ R- getmstatistic_0.2.2.tar.gz 1.0 MiB

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