On the use of kernel machines for Mendelian randomization
On the use of kernel machines for Mendelian randomization is a scholarly work, published in 2017 in ''Quantitative biology (Beijing, China)''. The main subjects of the publication include instrumental variables estimation, mathematics, Genomic selection, causal inference, econometrics, estimator, Mendelian randomization, kernel machine, genomics, statistics, computer science, confounding, and kernel. Some simulation studies are used to evaluate the feasibility of LSKM in TSLS setting.Conclusionsthe results show that LSKM based on genotype score or genotype can be used effectively in TSLS.