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.
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 |
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:
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