Cargando…
Efficient Design for Mendelian Randomization Studies: Subsample and 2-Sample Instrumental Variable Estimators
Mendelian randomization (MR) is a method for estimating the causal relationship between an exposure and an outcome using a genetic factor as an instrumental variable (IV) for the exposure. In the traditional MR setting, data on the IV, exposure, and outcome are available for all participants. Howeve...
Autores principales: | Pierce, Brandon L., Burgess, Stephen |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2013
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3783091/ https://www.ncbi.nlm.nih.gov/pubmed/23863760 http://dx.doi.org/10.1093/aje/kwt084 |
Ejemplares similares
-
Multivariable Mendelian Randomization: The Use of Pleiotropic Genetic Variants to Estimate Causal Effects
por: Burgess, Stephen, et al.
Publicado: (2015) -
Lack of Identification in Semiparametric Instrumental Variable Models With Binary Outcomes
por: Burgess, Stephen, et al.
Publicado: (2014) -
A review of instrumental variable estimators for Mendelian randomization
por: Burgess, Stephen, et al.
Publicado: (2015) -
Correcting the Standard Errors of 2-Stage Residual Inclusion Estimators for Mendelian Randomization Studies
por: Palmer, Tom M, et al.
Publicado: (2017) -
Estimating Marginal Healthcare Costs Using Genetic Variants as Instrumental Variables: Mendelian Randomization in Economic Evaluation
por: Dixon, Padraig, et al.
Publicado: (2016)