Some Invalid Some Valid Instrumental Variable Estimation (SISVIVE)

SISVIVE is an extension to the two-stage least squares (TSLS) procedure for one-sample MR that incorporates Lasso penalization. 

This method can identify consistent estimates of the causal effect if the majority of single nucleotide polymorphisms (SNPs) are valid instrumental variables (IVs). Currently, this method has only been developed for continuously measured outcomes and one-sample MR settings with individual-level data.

References

• Kang H, Zhang A, Cai TT, Small DS. Instrumental Variables Estimation With Some Invalid Instruments and its Application to Mendelian Randomization. Journal of the Americal Statistics Association 2016; 111: 132-142.

Other terms in 'Pleiotropy-robust one-sample MR methods':

• Adaptive Lasso
• constrained IVs
• MR for gene-environment interactions (MR-GxE)
• MR using G-Estimation under No Interaction with Unmeasured Selection (MR-GENIUS)
• Over-identification tests
• Pleiotropy-robust MR (PRMR)
• Two-stage hard thresholding (TSHT) with voting