Imputation can increase the sample size by filling in missing values, but it's essential to consider whether the imputed data accurately represents the underlying population. 2.

Some common examples of multivariate imputation methods are regression, k-nearest neighbors, and multiple imputation. Add your perspective Help others by sharing more (125 characters min.) Cancel ...

Note that the order in which the imputation scheme is conducted has no influence on the results because the orignial dataset is used for fitting the imputation models (not the dataset in which the ...

## Please note: for this example, exposure was a repeated binary measure of maternal psychopathology at 5 separate timepoints and outcome was a continuous measure, SMFQ score at age 10 # This function ...

For example, imputation of transcription factor binding may be more challenging, as their correlation structure with other marks can vary greatly across samples, ...

Currently, a growing number of programs become available in statistical software for multiple imputation of missing values. Among others, two algorithms are mainly implemented: Expectation ...

Multiple imputation analyses will avoid bias only if enough variables predictive of missing values are included in the imputation model. For example, if individuals with high socioeconomic status are ...