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One unphased reference panel from IMPUTE2 (https://mathgen.stats.ox.ac.uk/impute/impute_v2.html home 22 was adopted for imputation of panel S and B independently.
In this study, we propose a Global Learning with Local Preservation method (GL2P) for imputation of missing values in microarray data.
For the present study, we propose a new method for imputation of the relative risk function.
Because these data were missing due to systematic causes, and thus missing not at random (MNAR) [45], no methods for imputation of missing data at the visit level were applied in the primary analyses.
Using the EM (expectation-maximization) algorithm for imputation of missing values, a second dataset including estimates for individuals with missing data was created (n = 1114).
The default settings in BEAGLE were changed to allow consideration of long haplotypes spanning the entire region, which has proven beneficial for imputation of HLA alleles [51].
However, one limitation of the use of 1000 Genomes Project for imputation of markers in a locus of interest is that the possible "deleterious" or "protective" alleles may not be represented in this relatively "healthy" cohort.
To explore various approaches for imputation of untyped markers using a reference panel determined from sequencing data, we utilized a recently completed sequencing study for a gene which we will denote as GENE1 (unpublished data).
For imputation of CA, the results were similar between the three methods for imputation, with Scenarios 1 and 2 producing the best concordance and Scenarios 1 and 3 producing the highest mean and minimum quality score.
For imputation of numerical variable regression method is used.
The theory outlined above is for imputation of missing data in a vector.
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