Cargando…
Interpretation of Mendelian randomization using a single measure of an exposure that varies over time
BACKGROUND: Mendelian randomization (MR) is a powerful tool through which the causal effects of modifiable exposures on outcomes can be estimated from observational data. Most exposures vary throughout the life course, but MR is commonly applied to one measurement of an exposure (e.g. weight measure...
Autores principales: | Morris, Tim T, Heron, Jon, Sanderson, Eleanor C M, Davey Smith, George, Didelez, Vanessa, Tilling, Kate |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9749705/ https://www.ncbi.nlm.nih.gov/pubmed/35848950 http://dx.doi.org/10.1093/ije/dyac136 |
Ejemplares similares
-
Estimation of causal effects of a time-varying exposure at multiple time points through multivariable mendelian randomization
por: Sanderson, Eleanor, et al.
Publicado: (2022) -
Exploring and mitigating potential bias when genetic instrumental variables are associated with multiple non-exposure traits in Mendelian randomization
por: Yang, Qian, et al.
Publicado: (2022) -
Model Selection of the Effect of Binary Exposures over the Life Course
por: Smith, Andrew D. A. C., et al.
Publicado: (2015) -
Interpreting Mendelian-randomization estimates of the effects of categorical exposures such as disease status and educational attainment
por: Howe, Laurence J, et al.
Publicado: (2021) -
The use of negative control outcomes in Mendelian randomization to detect potential population stratification
por: Sanderson, Eleanor, et al.
Publicado: (2021)