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Third, expectation maximisation was used to impute missing data imputation for continuous and categorical variables.
These results were compared with Maximum Likelihood on a total imputed sample with Expectation Maximization imputation for missing data.
The relatively optimal fixed parameter settings for KNN imputation for software quality data is also determined.
The results suggest a limit of about 60% of missing data for imputation, for monthly averages, no more than this.
Rubin DB (1987), Multiple Imputation for Nonresponse in Surveys, John Wiley.
Additional file 1 Multiple Imputation for Missing Data in RAD Data.
Our study illustrates the value of high-resolution HLA and MICA imputation for fine mapping causal variants in the MHC.
There was no imputation for missing data, except for data missing from comorbidities, which were then considered as absent.
Through simulation, we show that imputation for missing responses under this adaptive design set-up has a clear gain over the method that uses only complete data.
The proposed methodology is based on Principal Component Analysis (PCA), combined with surrogate-model mapping and data imputation for the cases where there is missing information.
Dropping imputation for missing genotypes results in an even higher (r = 0.73) for correlation with the fraction of missing data.
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