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Rank-based inference for the accelerated failure time model in the presence of interval censored data


Citation

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).

Abstract

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.


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Additional Metadata

Item Type: Conference or Workshop Item (Paper)
Divisions: Faculty of Science
Institute for Mathematical Research
DOI Number: https://doi.org/10.1063/1.4952568
Publisher: AIP Publishing
Keywords: Accelerated failure time model; Interval censored data; Rank-based inference; Semiparametric analysis
Depositing User: Nabilah Mustapa
Date Deposited: 08 Sep 2017 05:30
Last Modified: 08 Sep 2017 05:30
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.1063/1.4952568
URI: http://psasir.upm.edu.my/id/eprint/57161
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