Impute: impute: Imputation for microarray data.
"mean value" imputation, "random normal" imputation, "uniform" imputation, "bootstrap" imputation.
First, the coalescent model enables the derivation of analytical formulas for imputation accuracy.
This formula applies when improper imputation and a parametric imputation model are used.
Recently, researchers proposed a new MM-based imputation method, called BLIMP, which imputes genotypes/allele frequencies for unmeasured SNPs by using the conditional expectation formula for multivariate normal variates (Wen and Stephens, 2010).
In this section, we derive formulas that quantify and compare imputation accuracy for internal and external reference panels.
Complicated mathematical formulas, which include subjective estimations (called "imputation") have been devised to demonstrate "proof".
Complicated mathematical formulas, which include subjective estimations (called "imputation") have been devised to demonstrate "proof". But correlation is not cause.
Standard errors of regression coefficients were determined using a general formula for combining estimates in multiple imputation, which assumes that data are missing at random (Rubin, 1987).
Despite the fact that we have presented a simplified model without recombination or migration, our results provide mathematical formulas that allow us to estimate imputation accuracy for a variety of demographic and sampling scenarios.
