Bayesian Mendelian randomization testing of interval causal null hypotheses: ternary decision rules and loss function calibration
贝叶斯孟德尔随机化的区间因果零假设检验：三元决策与损失函数校准
Our approach to Mendelian Randomization (MR) analysis is designed to increase reproducibility of causal effect "discoveries" by: (i) using a Bayesian approach to inference; (ii) replacing the point null hypothesis with a region of practical equivalence consisting of values of negligible magnitude for the effect of interest, while exploiting the ability of Bayesian analysis to quantify the evidence of the effect falling inside/outside the region; (iii) rejecting the usual…