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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...

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書誌詳細
主要な著者:	Karimi, Mostafa, Ibrahim, Noor Akma, Abu Bakar, Mohd Rizam, Arasan, Jayanthi
フォーマット:	Conference or Workshop Item
言語:	English
出版事項:	AIP Publishing 2016
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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