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Population‐calibrated multiple imputation for a binary/categorical covariate in categorical regression models
Multiple imputation (MI) has become popular for analyses with missing data in medical research. The standard implementation of MI is based on the assumption of data being missing at random (MAR). However, for missing data generated by missing not at random mechanisms, MI performed assuming MAR might...
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| 出版年: | Stat Med |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
John Wiley and Sons Inc.
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6492126/ https://ncbi.nlm.nih.gov/pubmed/30328123 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.8004 |
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