孟德尔随机化
联营
统计
统计的
协变量
因果推理
I类和II类错误
工具变量
混淆
标准误差
结果(博弈论)
数学
计量经济学
观察研究
遗传学
计算机科学
遗传变异
生物
数理经济学
人工智能
基因
基因型
作者
Stephen Burgess,Simon G. Thompson
摘要
Background Mendelian randomization is used to test and estimate the magnitude of a causal effect of a phenotype on an outcome by using genetic variants as instrumental variables (IVs). Estimates of association from IV analysis are biased in the direction of the confounded, observational association between phenotype and outcome. The magnitude of the bias depends on the F-statistic for the strength of relationship between IVs and phenotype. We seek to develop guidelines for the design and analysis of Mendelian randomization studies to minimize bias.
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