Rank-based inference for the accelerated failure time model in the presence of interval censored data
Semiparametric analysis and rank-based inference for the accelerated failure time model are complicated in the presence of interval censored data. The main difficulty with the existing rank-based methods is that they involve estimating functions with the possibility of multiple roots. In this paper...
保存先:
| 主要な著者: | , , , |
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| フォーマット: | Conference or Workshop Item |
| 言語: | English |
| 出版事項: |
AIP Publishing
2016
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/57161/1/Rank-based%20inference%20for%20the%20accelerated%20failure%20time%20model%20in%20the%20presence%20of%20interval%20censored%20data.pdf http://psasir.upm.edu.my/id/eprint/57161/ http://aip.scitation.org/doi/abs/10.1063/1.4952568 |
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