Pleiotropy robust methods for multivariable Mendelian randomization.

Authors:
Grant AJ; Burgess S.

Journal:
Stat Med

Publication Year: 2021

DOI:
10.1002/sim.9156

PMCID:
PMC7612169

PMID:
34342032

Journal Information

Full Title: Stat Med

Abbreviation: Stat Med

Country: Unknown

Publisher: Unknown

Language: N/A

Publication Details

Subject Category: Statistics as Topic

Available in Europe PMC: Yes

Available in PMC: Yes

PDF Available: No

Transparency Score
3/6
0.0% Transparent
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Evidence found in paper:

"rcode for reproducing the simulation data is available at https://github com/aj-grant/robust-mvmr ."

Evidence found in paper:

"rcode for reproducing the simulation data is available at https://github com/aj-grant/robust-mvmr ."

COI Disclosure
Evidence found in paper:

"The authors thank Neil Davies for supplying some of the data used in the applied example, and Max Mandl for supplying a correction to the multivariable version of the mr_presso R function. Andrew J. Grant and Stephen Burgess are supported by a Sir Henry Dale Fellowship jointly funded by the Wellcome Trust and the Royal Society (grant number 204623/Z/16/Z). This research was funded by the NIHR Cambridge Biomedical Research Centre. The views expressed are those of the authors and not necessarily those of the NHS, the NIHR or the Department of Health and Social Care. For the purpose of open access, the author has applied a CC-BY public copyright licence to any Author Accepted Manuscript version arising from this submission."

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Open Access
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Tool: rtransparent

OST Version: N/A

Last Updated: Aug 05, 2025