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Accuracy of random-forest-based imputation of missing data in the presence of non-normality, non-linearity, and interaction

Published Online: 2020-07-25

Published Print: 2020-12

Authors

Hong, Shangzhi

Lynn, Henry S. https://orcid.org/0000-0002-8078-5690
License Information

Text and Data Mining valid from 2020-07-25

Version of Record valid from 2020-07-25
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Article History

Received: 23 April 2020

Accepted: 15 July 2020

First Online: 25 July 2020

Ethics approval and consent to participate

: Ethics approval was not required for the conduct of this research.

: Not applicable.

: Authors declare that they have no competing interests.

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