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We therefore used multiple imputation (MI) to impute a number of values for each missing data point (van Buuren et al, 1999).
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This procedure imputes a number of values for the missing data incorporating both the variability of the QoL measure and the uncertainty surrounding the missing observation.
Note that we do not aim to impute a large number of additional (rare) SNPs from the reference set to increase number of SNPs.
Because only one variable was incomplete, we chose to impute a larger number of databases.
Starting from the Hap550-genotyped SNPs, we were able to impute a large number of variants present on ImmunoChip.
In this population, we had to impute a small number of missing values to calculate the area under the curves.
They differ slightly in that the bootstrap method imputes no successes in X = 0 whereas the other methods impute a small number of successes in this group.
Methods that use the limited available features to impute a large number of missing features are likely to produce very biased models.
By comparison, the Bayesian approach with Beta(1,1) prior would impute a mean number of successes of f / (f + 1 ) or just under 1.
In order to account for that, simple experiments (e.g., genotyping and imputing a small number of Dams) could be conducted to empirically estimate the expected success rate for Dams with a given number of loci inferred with a probability of one.
We imputed a large number of single-nucleotide polymorphisms (SNPs) using the 1000 Genomes Project reference data to search deeply throughout the genome in this large merged data set of Tufts/MMAP/MIGen/GAIN (TMMG).
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