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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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書誌詳細
出版年:Stat Med
主要な著者: Ren, Kaili, Drummond, Christopher A., Brewster, Pamela S., Haller, Steven T., Tian, Jiang, Cooper, Christopher J., Zhang, Biao
フォーマット: Artigo
言語:Inglês
出版事項: 2016
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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