Semi-parametric structural mean model (SMMs) for binary outcomes

SMM approach to MR that avoids having to specify a first stage regression model. 

Genetic variants must satisfy the IV assumptions. No need to specify first stage gene-exposure association model. Can be extended to handle case control data. 

References

• Bowden J, Vansteelandt S. Mendelian randomization analysis of case-control data using structural mean models. Statistics in Medicine 2011;30:678-694.

Other terms in 'One-sample MR methods':

• Generalized Method of Moments (GMM) estimator
• MR with a time-to-event outcome
• Non-parametric methods with bounds of causal effect
• Polygenic risk score approach
• TSLS with binary outcome
• Two-stage least squares (TSLS)