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The study also compared the proposed imputation approach with mean imputation and other three KNN imputation approaches.

Methods include: last-observation-carried-forward imputation, regression mean imputation, and multiple imputation.

Such methods, which include mean imputation and major allele imputation, should therefore be avoided in inference studies.

However, Shao et al. [ 57] and Unnebrink et al. [ 58] claim that old-type imputations, such as LOCF, mean imputation and worst observation carry-forward (WOCF), can cause significant differences in results when the attrition rate is higher than 20%.

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All the data plotted in Figure 2 and Figure 3 are presented numerically in Table 3 and Table 4, which also include tabular summaries of mean imputation r and genotype concordance and the counts of variants in each MAF bin, as this count differs by ancestry group.

This data set was used as the basis of a predictive model to identify patients with clinical response to thiopurine immune suppressant medication with a c statistic of 0.86. 1 We compared missForest with three other commonly used imputation methods that can handle both continuous and categorical variables, namely, mean imputation, NN and MICE.

Line plots of mean imputation r and mean genotype concordance are available in Figure S1 and Figure S2.

Missing baseline data were imputed as a 'missing' category for discrete covariates or using simple conditional mean imputation (White and Thompson, 2005) for continuous covariates.

Cross sectional methods include mean imputation, regression and hot-decking (random selection from those observed).

Sensitivity analysis showed that the mean imputation method and the complete case analysis did not have differing effects on the validity and reliability of the ECOHIS.

In order to assess the impact of missing data on our findings, we examined the results when performing the analyses using mean imputation method, and when using the complete case analysis.

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