most citedMultiple imputation using chained random forests: a preliminary study based on the empirical distribution of out-of-bag prediction errors

2 citations · 3 across the 2 of their papers we have counts for

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2 papers

stat.ME2020★ 2 cited

Multiple imputation using chained random forests: a preliminary study based on the empirical distribution of out-of-bag prediction errors

Shangzhi Hong, Yuqi Sun, Hanying Li +1

Missing data are common in data analyses in biomedical fields, and imputation methods based on random forests (RF) have become widely accepted, as the RF algorithm can achieve high…

stat.AP2020★ 1 cited

Influence of parallel computing strategies of iterative imputation of missing data: a case study on missForest

Shangzhi Hong, Yuqi Sun, Hanying Li +1

Machine learning iterative imputation methods have been well accepted by researchers for imputing missing data, but they can be time-consuming when handling large datasets. To over…