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A nonparametric multiple imputation approach for missing categorical data

BACKGROUND: Incomplete categorical variables with more than two categories are common in public health data. However, most of the existing missing-data methods do not use the information from nonresponse (missingness) probabilities. METHODS: We propose a nearest-neighbour multiple imputation approac...

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Bibliographic Details
Published in:BMC Med Res Methodol
Main Authors: Zhou, Muhan, He, Yulei, Yu, Mandi, Hsu, Chiu-Hsieh
Format: Artigo
Language:Inglês
Published: BioMed Central 2017
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Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC5461637/
https://ncbi.nlm.nih.gov/pubmed/28587662
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12874-017-0360-2
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