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getmstatistic  

Quantifying Systematic Heterogeneity in Meta-Analysis
View on CRAN: Click here


Download and install getmstatistic package within the R console
Install from CRAN:
install.packages("getmstatistic")

Install from Github:
library("remotes")
install_github("cran/getmstatistic")

Install by package version:
library("remotes")
install_version("getmstatistic", "0.2.2")



Attach the package and use:
library("getmstatistic")
Maintained by
Lerato E Magosi
[Scholar Profile | Author Map]
First Published: 2017-06-06
Latest Update: 2021-05-09
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.
How to cite:
Lerato E Magosi (2017). getmstatistic: Quantifying Systematic Heterogeneity in Meta-Analysis. R package version 0.2.2, https://cran.r-project.org/web/packages/getmstatistic. Accessed 01 Apr. 2025.
Previous versions and publish date:
0.1.0 (2017-06-06 00:14), 0.1.1 (2017-06-09 01:08), 0.2.0 (2019-03-15 09:40), 0.2.1 (2020-03-30 10:50)
Other packages that cited getmstatistic R package
View getmstatistic citation profile
Other R packages that getmstatistic depends, imports, suggests or enhances
Complete documentation for getmstatistic
Functions, R codes and Examples using the getmstatistic R package
Some associated functions: draw_table . getmstatistic . heartgenes214 . 
Some associated R codes: compute_mstatistics.R . data.R . driver_compute_mstatistics.R . getmstatistic_welcome.R . util_draw_table.R .  Full getmstatistic package functions and examples
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