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Doubly Robust Nonparametric Multiple Imputation for Ignorable Missing Data

Missing data are common in medical and social science studies and often pose a serious challenge in data analysis. Multiple imputation methods are popular and natural tools for handling missing data, replacing each missing value with a set of plausible values that represent the uncertainty about the...

詳細記述

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書誌詳細
主要な著者: Long, Qi, Hsu, Chiu-Hsieh, Li, Yisheng
フォーマット: Artigo
言語:Inglês
出版事項: 2012
主題:
オンライン・アクセス:https://ncbi.nlm.nih.gov/pmc/articles/PMC3280694/
https://ncbi.nlm.nih.gov/pubmed/22347786
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