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Improved conditional imputation for linear regression with a randomly censored predictor
This article describes a nonparametric conditional imputation analytic method for randomly censored covariates in linear regression. While some existing methods make assumptions about the distribution of covariates or underestimate standard error due to lack of imputation error, the proposed approac...
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| 出版年: | Stat Methods Med Res |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2017
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5826819/ https://ncbi.nlm.nih.gov/pubmed/28830304 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1177/0962280217727033 |
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