GETMSTATISTIC: Stata module to Quantify Systematic Heterogeneity in Meta-Analysis

Lerato Magosi ()
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Lerato Magosi: University of Oxford

Statistical Software Components from Boston College Department of Economics

Abstract: getmstatistic computes M statistics to assess the contribution of each participating study in a meta-analysis. Its 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, the M-statistic measures systematic (non-random) heterogeneity across multiple independently associated variants.

Language: Stata
Requires: Stata version 10 and latabstat, metareg, savesome, qqvalue from SSC or SJ (q.v.)
Keywords: M-statistic; meta-analysis; systematic heterogeneity (search for similar items in EconPapers)
Date: 2017-05-18, Revised 2018-07-31
Note: This module should be installed from within Stata by typing "ssc install getmstatistic". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
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http://fmwww.bc.edu/repec/bocode/g/getmstatistic.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/g/getmstatistic.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/h/heartgenes214.dta sample data file (application/x-stata)

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