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Combining Multiple Imputation and Inverse-Probability Weighting
SUMMARY: Two approaches commonly used to deal with missing data are multiple imputation (MI) and inverse-probability weighting (IPW). IPW is also used to adjust for unequal sampling fractions. MI is generally more efficient than IPW but more complex. Whereas IPW requires only a model for the probabi...
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| 主要な著者: | , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Blackwell Publishing Inc
2012
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3412287/ https://ncbi.nlm.nih.gov/pubmed/22050039 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1111/j.1541-0420.2011.01666.x |
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