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20152021
most citedAn Empirical Comparison of Multiple Imputation Methods for Categorical Data

66 citations · 94 across the 8 of their papers we have counts for

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cs.LG2021★ 11 cited

Are deep learning models superior for missing data imputation in large surveys? Evidence from an empirical comparison

Zhenhua Wang, Olanrewaju Akande, Jason Poulos +1

Multiple imputation (MI) is a popular approach for dealing with missing data arising from non-response in sample surveys. Multiple imputation by chained equations (MICE) is one of…