Multiple imputation 1 is a widely applied approach for the analysis of incomplete datasets. It involves replacing each missing cell with several plausible imputed values that are drawn from the ...

With the availability of rich data on multiple complex traits (or phenotypes) from genome-wide association studies (GWAS) and biobanks, several recent large-scale studies [1,2,3,4,5,6,7] have examined ...