Rucker framework

Uses goodness-of-fit heterogeneity statistics to decide whether the inverse variance weighted (IVW) or MR-Egger regression models (with or without heterogeneity) is best supported by the data. 

Requires p-value thresholds to be specified to guide model choice. 

References

• Bowden J, Del Greco M F, Minelli C, Davey Smith G, Sheehan N, Thompson J. A framework for the investigation of pleiotropy in two-sample summary data Mendelian randomization. Statistics in medicine 2017; 36: 1783-1802.

Other terms in 'Model selection and averaging approaches for two-sample MR':

• Bayesian model averaging for IVW and MR-Egger
• Mixture of Experts (MR-MoE)
• Steiger filtering