The canonical method to estimate the causal effect of a continuous exposure on a continuous outcome using an instrumental variable (IV) for one-sample MR.
For this method to provide a valid causal estimate of the exposure on the outcome, genetic variants must satisfy the MR assumptions and the model describing the association between the genetic variant and outcome must be correctly specified.
References
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
- Structural Mean Models (SMMs)
- Two-stage least squares (TSLS) with binary outcomes
- Two-stage predictor substitution estimators
- Two-stage residual inclusion estimators
- Within-family MR