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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2016
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Online Access: | 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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my.upm.eprints.571612017-09-08T05:30:48Z http://psasir.upm.edu.my/id/eprint/57161/ Rank-based inference for the accelerated failure time model in the presence of interval censored data Karimi, Mostafa Ibrahim, Noor Akma Abu Bakar, Mohd Rizam Arasan, Jayanthi 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 a class of asymptotically normal rank estimators is developed which can be aquired via linear programming for estimating the parameters of the model, and a two-step iterative algorithm is introduce for solving the estimating equations. The proposed inference procedures are assessed through a real example. AIP Publishing 2016 Conference or Workshop Item PeerReviewed application/pdf en 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 Karimi, Mostafa and Ibrahim, Noor Akma and Abu Bakar, Mohd Rizam and Arasan, Jayanthi (2016) Rank-based inference for the accelerated failure time model in the presence of interval censored data. In: 2nd International Conference on Mathematical Sciences and Statistics (ICMSS2016), 26-28 Jan. 2016, Kuala Lumpur, Malaysia. (pp. 1-5). http://aip.scitation.org/doi/abs/10.1063/1.4952568 10.1063/1.4952568 |
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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 a class of asymptotically normal rank estimators is developed which can be aquired via linear programming for estimating the parameters of the model, and a two-step iterative algorithm is introduce for solving the estimating equations. The proposed inference procedures are assessed through a real example. |
format |
Conference or Workshop Item |
author |
Karimi, Mostafa Ibrahim, Noor Akma Abu Bakar, Mohd Rizam Arasan, Jayanthi |
spellingShingle |
Karimi, Mostafa Ibrahim, Noor Akma Abu Bakar, Mohd Rizam Arasan, Jayanthi Rank-based inference for the accelerated failure time model in the presence of interval censored data |
author_facet |
Karimi, Mostafa Ibrahim, Noor Akma Abu Bakar, Mohd Rizam Arasan, Jayanthi |
author_sort |
Karimi, Mostafa |
title |
Rank-based inference for the accelerated failure time model in the presence of interval censored data |
title_short |
Rank-based inference for the accelerated failure time model in the presence of interval censored data |
title_full |
Rank-based inference for the accelerated failure time model in the presence of interval censored data |
title_fullStr |
Rank-based inference for the accelerated failure time model in the presence of interval censored data |
title_full_unstemmed |
Rank-based inference for the accelerated failure time model in the presence of interval censored data |
title_sort |
rank-based inference for the accelerated failure time model in the presence of interval censored data |
publisher |
AIP Publishing |
publishDate |
2016 |
url |
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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