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Empirical-likelihood-based semiparametric inference for the treatment effect in the two-sample problem with censoring
To compare two samples of censored data, we propose a unified semiparametric inference for the parameter of interest when the model for one sample is parametric and that for the other is nonparametric. The parameter of interest may represent, for example, a comparison of means, or survival probabili...
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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: |
2005
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2825713/ https://ncbi.nlm.nih.gov/pubmed/20179776 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biomet/92.2.271 |
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