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Missing data imputation was performed by using the ImputeMissingValues.KNN module of GenePattern.
Missing data imputation was performed with the software Npute [ 65].
Missing data imputation was not considered an appropriate measure for addressing the low response rate as it was not possible to derive an accurate model due to the large amount of missing data.
Third, expectation maximisation was used to impute missing data imputation for continuous and categorical variables.
Dec 02 Practical Missing Data Imputation.
Title: Dec 02 Practical Missing Data Imputation.
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Please join us for a workshop on practical missing data imputation.
A key benefit of this strategy is that missing data imputation is obviated.
Pooling analysis of the data after missing data imputation by either LOCF or MI produced the same results as the completer analysis (Table 3).
It is observed that the classification accuracy is improved or at least maintained by using our approach for missing data imputation.
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