Imputation methods can infer the alleles of 'hidden' variants and use those inferences to test the hidden variants for association. The large amount of data generated in whole-genome association ...

Missing data are a persistent problem in social and other datasets. A standard technique for handling missing values efficiently is known as multiple imputation and the software REALCOM-Impute is ...

Hollenbach, F.M., I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward, and A. Volfovsky. "Multiple Imputation Using Gaussian Copulas." Special Issue on New Quantitative ...

This course aims to provide a theoretical and practical introduction to multiple imputation methods for dealing with missing data in straightforward situations. Please click on the sections below for ...

For a given population, both intrinsic population-genetic properties and the properties of genomic resources affect the utility of tag SNPs and the performance of genotype-imputation methods.