Abstract
Motivation: In recent years Mendelian randomization analysis using summary data from genome-wide association studies has become a popular approach for investigating causal relationships in epidemiology. The mrrobust Stata package implements several of the recently developed methods.
Implementation: mrrobust is freely available as a Stata package.
General Features: The package includes inverse variance weighted estimation, as well as a range of median, modal and MR-Egger estimation methods. Using mrrobust, plots can be constructed visualising each estimate either individually or simultaneously. The package also provides statistics such as I_GX^2, which are useful in assessing attenuation bias in causal estimates.
Availability: The software is freely available from GitHub [https://raw.github.com/remlapmot/mrrobust/master/].
Implementation: mrrobust is freely available as a Stata package.
General Features: The package includes inverse variance weighted estimation, as well as a range of median, modal and MR-Egger estimation methods. Using mrrobust, plots can be constructed visualising each estimate either individually or simultaneously. The package also provides statistics such as I_GX^2, which are useful in assessing attenuation bias in causal estimates.
Availability: The software is freely available from GitHub [https://raw.github.com/remlapmot/mrrobust/master/].
| Original language | English |
|---|---|
| Number of pages | 7 |
| Journal | International Journal of Epidemiology |
| Early online date | 12 Sept 2018 |
| DOIs | |
| Publication status | E-pub ahead of print - 12 Sept 2018 |
Keywords
- summary MR
- MR-Egger
- IVW
- weighted median
- Mendelian randomization
- Stata
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Dr Tom M Palmer
- Bristol Medical School (PHS) - Senior Lecturer in Biostatistics Applied to Genetics
Person: Academic