A nonparametric multiple imputation approach for missing categorical data

A nonparametric multiple imputation approach for missing categorical data

Abstract 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...

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Bibliographic Details
Main Authors: Muhan Zhou, Yulei He, Mandi Yu, Chiu-Hsieh Hsu
Format: Article
Language:English
Published: BMC 2017-06-01
Series:BMC Medical Research Methodology
Subjects:
Categorical data
Double robustness
Missing at Random
Multiple imputation
Nearest neighbour
Online Access:http://link.springer.com/article/10.1186/s12874-017-0360-2

Internet

http://link.springer.com/article/10.1186/s12874-017-0360-2

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