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Multiple Imputation for General Missing Data Patterns in the Presence of High-dimensional Data

Multiple imputation (MI) has been widely used for handling missing data in biomedical research. In the presence of high-dimensional data, regularized regression has been used as a natural strategy for building imputation models, but limited research has been conducted for handling general missing da...

詳細記述

保存先:
書誌詳細
出版年:Sci Rep
主要な著者: Deng, Yi, Chang, Changgee, Ido, Moges Seyoum, Long, Qi
フォーマット: Artigo
言語:Inglês
出版事項: Nature Publishing Group 2016
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC4751511/
https://ncbi.nlm.nih.gov/pubmed/26868061
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/srep21689
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