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Mendelian randomization with incomplete measurements on the exposure in the Hispanic Community Health Study/Study of Latinos

Summary: Mendelian randomization has been widely used to assess the causal effect of a heritable exposure variable on an outcome of interest, using genetic variants as instrumental variables. In practice, data on the exposure variable can be incomplete due to high cost of measurement and technical l...

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Kaydedildi:
Asıl Yazarlar: Yilun Li, Kin Yau Wong, Annie Green Howard, Penny Gordon-Larsen, Heather M. Highland, Mariaelisa Graff, Kari E. North, Carolina G. Downie, Christy L. Avery, Bing Yu, Kristin L. Young, Victoria L. Buchanan, Robert Kaplan, Lifang Hou, Brian Thomas Joyce, Qibin Qi, Tamar Sofer, Jee-Young Moon, Dan-Yu Lin
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: Elsevier 2024-01-01
Seri Bilgileri:HGG Advances
Konular:
causal inference
detection limits
instrumental variables
metabolomics
missing data
unmeasured confounding
Online Erişim:http://www.sciencedirect.com/science/article/pii/S2666247723000775
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