Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score
利用稳健调整剖面得分进行双样本汇总数据孟德尔随机化推断
Mendelian randomization (MR) is a method of exploiting genetic variation to unbiasedly estimate a causal effect in presence of unmeasured confounding. MR is being widely used in epidemiology and other related areas of population science. In this paper, we study statistical inference in the increasingly popular two-sample summary-data MR design. We show a linear model for the observed associations approximately holds in a wide variety of settings when all the genetic variants…