Imputation of Missing Values for Multi-Biospecimen Metabolomics Studies: Bias and Effects on Statistical Validity.

By 40% missingness, all methods show a clear trend of estimated correlations tending towards zero for the imputed data as percent missingness increases, with RF showing the least amount of bias. 2.3.2.

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Regardless of the imputation method used, both approaches showed a trend of the imputed between-biospecimen correlation estimates approaching zero as percent missingness increased.

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