Bayesian Mendelian randomization with an interval causal null hypothesis: ternary decision rules and loss function calibration
We enhance the Bayesian Mendelian Randomization (MR) framework of Berzuini et al. (Biostatistics 21(1):86 –101, 2018) by allowing for interval null causal hypotheses, where values of the causal effect parameter...
Source: BMC Medical Research Methodology - Category: Research Authors: Linyi Zou, Teresa Fazia, Hui Guo and Carlo Berzuini Tags: Research Source Type: research