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An alternative empirical-likelihood method in missing response problems and causal inference
Missing responses are common problems in medical, social, and economic studies. When responses are missing at random, a complete-case data analysis may result in biases. A popular debias method is inverse probability weighting (IPW) proposed by Horvitz and Thompson [1]. To improve efficiency, Robins...
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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: |
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5096999/ https://ncbi.nlm.nih.gov/pubmed/27417265 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/sim.7038 |
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