Penalized Inverse-Variance Weighted Estimator for Mendelian Randomization

The penalized inverse-variance weighted (pIVW) estimator is a Mendelian randomization method for estimating the causal effect of an exposure variable on an outcome of interest based on summary-level GWAS data. The pIVW estimator accounts for weak instruments and balanced horizontal pleiotropy simultaneously. See Xu S., Wang P., Fung W.K. and Liu Z. (2022) .


Reference manual

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install.packages("mr.pivw")

0.1.1 by Siqi Xu, 4 years ago


Browse source code at https://github.com/cran/mr.pivw


Authors: Siqi Xu


Documentation:   PDF Manual  


GPL-2 license



See at CRAN