Table 1.
Instrumental inequalities | MR-Egger intercept test | MR-PRESSO global test | |
---|---|---|---|
Key assumptions in addition to the IV conditions | Coarsening of continuous exposures does not induce violations of IV conditions [31] | Homogeneity and linearity in associations between instrument, exposure, and outcome [34] | Homogeneity and linearity in associations between instrument, exposure, and outcome [35] |
Example interpretations of the falsification test |
(1) A global test of the IV conditions and the coarsening assumption (2) Assuming coarsening of continuous exposures did not induce violations, a test of the IV conditions |
(1) A global test of the IV conditions, homogeneity, and linearity assumptions (2) Assuming homogeneity and linearity, a test of the IV conditions |
(1) A global test of the IV conditions, homogeneity, and linearity assumptions (2) Assuming homogeneity and linearity, a test of the IV conditions |
Considerations for statistical inference | No consensus currently exists on the optimal approach for statistical inference [40] | Often limited in power to be able detect violations of the instrumental conditions [38] | Possibly limited in power to detect violations of the instrumental conditions if the percentage of horizontal pleiotropic proposed instruments is less than 10%; less powerful to detect violations of the instrumental conditions when pleiotropy is imbalanced [35] |
Applicability to one sample and/or two sample data settings | Presented approach only applicable in the one-sample setting | Has been applied in both one- and two-sample settings, but may produce biased results when applied to one sample setting [37] | Currently only applied to two-sample data settings |