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A resampling method for estimating the covariance matrix in semiparametric accelerated failure time model with interval censored data


Citation

Karimi, Mostafa and Ibrahim, Noor Akma and Abu Bakar, Mohd. Rizam and Arasan, Jayanthi (2016) A resampling method for estimating the covariance matrix in semiparametric accelerated failure time model with interval censored data. In: 7th International Conference on Numerical Optimization & Operations Research (ICNOOR-VII), 31Oct. – 2 Nov. 2016, Hanoi, Vietnam. (pp. 12-17).

Abstract

Estimating the covariance matrix of the rank estimators in the accelerated failure time model is complicated in the presence of interval censored data. The main difficulty with the existing estimation methods is that they involve nonparametric approximation of the density function of error terms. In this paper a resampling method for approximating the covariance matrix of the rank estimators is developed which is established on the basis of interval censored data. The proposed resampling scheme is 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/10.5176/2251-1911_CMCGS16.10
Keywords: Accelerated failure time model; Gehan statistic; Weighted log-rank statistic; Covariance matrix; Interval censored data
Depositing User: Nurul Ainie Mokhtar
Date Deposited: 30 Apr 2018 06:43
Last Modified: 30 Apr 2018 06:43
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.5176/2251-1911_CMCGS16.10
URI: http://psasir.upm.edu.my/id/eprint/35591
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