OneSampleMR: Useful functions for one-sample Mendelian randomization and instrumental variables analyses
Source:R/onesamplemr-package.R
OneSampleMR-package.RdSome useful functions for one-sample Mendelian randomization and instrumental variables analyses.
Details
More details of these estimators can be found in the papers cited in the helpfiles and more generally in Palmer et al. (2011).
The two-stage predictor substitution, two-stage residual inclusion, and structural mean model estimators are estimated using the generalised method of moments estimation as per Clarke et al. (2015).
References
Clarke PS, Palmer TM, Windmeijer F. Estimating structural mean models with multiple instrumental variables using the Generalised Method of Moments. Statistical Science, 2015, 30, 1, 96-117. doi:10.1214/14-STS503
Palmer TM, Sterne JAC, Harbord RM, Lawlor DA, Sheehan NA, Meng S, Granell R, Davey Smith G, Didelez V. Instrumental variable estimation of causal risk ratios and causal odds ratios in Mendelian randomization analyses. American Journal of Epidemiology, 2011, 173, 12, 1392-1403. doi:10.1093/aje/kwr026