Cargando…
Best (but oft-forgotten) practices: the design, analysis, and interpretation of Mendelian randomization studies(1)
Mendelian randomization (MR) is an increasingly important tool for appraising causality in observational epidemiology. The technique exploits the principle that genotypes are not generally susceptible to reverse causation bias and confounding, reflecting their fixed nature and Mendel’s first and sec...
Autores principales: | Haycock, Philip C, Burgess, Stephen, Wade, Kaitlin H, Bowden, Jack, Relton, Caroline, Davey Smith, George |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Nutrition
2016
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4807699/ https://www.ncbi.nlm.nih.gov/pubmed/26961927 http://dx.doi.org/10.3945/ajcn.115.118216 |
Ejemplares similares
-
Consistent Estimation in Mendelian Randomization with Some Invalid Instruments Using a Weighted Median Estimator
por: Bowden, Jack, et al.
Publicado: (2016) -
The Role of Obesity, Type 2 Diabetes, and Metabolic Factors in Pancreatic Cancer: A Mendelian Randomization Study
por: Carreras-Torres, Robert, et al.
Publicado: (2017) -
Study designs: Part 1 – An overview and classification
por: Ranganathan, Priya, et al.
Publicado: (2018) -
Study designs: Part 2 – Descriptive studies
por: Aggarwal, Rakesh, et al.
Publicado: (2019) -
Study designs: Part 4 – Interventional studies
por: Aggarwal, Rakesh, et al.
Publicado: (2019)