Interpreting Mendelian-randomization estimates of the effects of categorical exposures such as disease status and educational attainment

BACKGROUND: Mendelian randomization has been previously used to estimate the effects of binary and ordinal categorical exposures—e.g. Type 2 diabetes or educational attainment defined by qualification—on outcomes. Binary and categorical phenotypes can be modelled in terms of liability—an underlying...

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Detalles Bibliográficos
Autores principales: Howe, Laurence J, Tudball, Matthew, Davey Smith, George, Davies, Neil M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Methods
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189950/
https://www.ncbi.nlm.nih.gov/pubmed/34570226
http://dx.doi.org/10.1093/ije/dyab208

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9189950/
https://www.ncbi.nlm.nih.gov/pubmed/34570226
http://dx.doi.org/10.1093/ije/dyab208

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