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pmid: 26614692
pmc: PMC4770870
The use of genetic markers as instrumental variables (IV) is receiving increasing attention from economists, statisticians, epidemiologists and social scientists. Although IV is commonly used in economics, the appropriate conditions for the use of genetic variants as instruments have not been well defined. The increasing availability of biomedical data, however, makes understanding of these conditions crucial to the successful use of genotypes as instruments. We combine the econometric IV literature with that from genetic epidemiology, and discuss the biological conditions and IV assumptions within the statistical potential outcomes framework. We review this in the context of two illustrative applications.
Genetic Markers, Genetic variants, 330, Genetic Variants, Potential Outcomes, 610, Instrumental variables, Article, Bias, Mendelian Randomization, Mendelian randomization, Humans, Longitudinal Studies, Potential outcomes, Health Policy, Public Health, Environmental and Occupational Health, Genetic Variation, ALSPAC, Mendelian Randomization Analysis, ALSPAC; Fat mass; Genetic Variants; Instrumental Variables; Mendelian Randomization; Potential Outcomes, England, Instrumental Variables, Algorithms, jel: jel:J24, jel: jel:I1, jel: jel:C36
Genetic Markers, Genetic variants, 330, Genetic Variants, Potential Outcomes, 610, Instrumental variables, Article, Bias, Mendelian Randomization, Mendelian randomization, Humans, Longitudinal Studies, Potential outcomes, Health Policy, Public Health, Environmental and Occupational Health, Genetic Variation, ALSPAC, Mendelian Randomization Analysis, ALSPAC; Fat mass; Genetic Variants; Instrumental Variables; Mendelian Randomization; Potential Outcomes, England, Instrumental Variables, Algorithms, jel: jel:J24, jel: jel:I1, jel: jel:C36
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 102 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 1% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |