Cure fraction model for interval censoring with a change point based on a covariate threshold
In this paper, a cure fraction model for interval-censored data with a change point according to a covariate threshold is proposed. Maximum likelihood estimators of the model parameters are obtained using the Expectation Maximization (EM) algorithm. A critical challenge to this method was that the l...
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Indian Society for Education and Environment
2015
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my.upm.eprints.442212023-12-24T16:01:20Z http://psasir.upm.edu.my/id/eprint/44221/ Cure fraction model for interval censoring with a change point based on a covariate threshold Taweab, Fauzia Ibrahim, Noor Akma Mohd Rizam In this paper, a cure fraction model for interval-censored data with a change point according to a covariate threshold is proposed. Maximum likelihood estimators of the model parameters are obtained using the Expectation Maximization (EM) algorithm. A critical challenge to this method was that the likelihood function is not differentiable with respect to the unknown change point parameter. Simulation studies were conducted to evaluate the performance of the proposed estimation method. The numerical results showed that the new model represents a valuable advancement of cure models. Indian Society for Education and Environment 2015 Article PeerReviewed Taweab, Fauzia and Ibrahim, Noor Akma and Mohd Rizam (2015) Cure fraction model for interval censoring with a change point based on a covariate threshold. Indian Journal of Science and Technology, 8 (13). pp. 1-6. ISSN 0974-6846; ESSN: 0974-5645 https://indjst.org/articles/cure-fraction-model-for-interval-censoring-with-a-change-point-based-on-a-covariate-threshold 10.17485/ijst/2015/v8i13/70641 |
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In this paper, a cure fraction model for interval-censored data with a change point according to a covariate threshold is proposed. Maximum likelihood estimators of the model parameters are obtained using the Expectation Maximization (EM) algorithm. A critical challenge to this method was that the likelihood function is not differentiable with respect to the unknown change point parameter. Simulation studies were conducted to evaluate the performance of the proposed estimation method. The numerical results showed that the new model represents a valuable advancement of cure models. |
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Taweab, Fauzia Ibrahim, Noor Akma Mohd Rizam |
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Taweab, Fauzia Ibrahim, Noor Akma Mohd Rizam Cure fraction model for interval censoring with a change point based on a covariate threshold |
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Taweab, Fauzia Ibrahim, Noor Akma Mohd Rizam |
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Taweab, Fauzia |
title |
Cure fraction model for interval censoring with a change point based on a covariate threshold |
title_short |
Cure fraction model for interval censoring with a change point based on a covariate threshold |
title_full |
Cure fraction model for interval censoring with a change point based on a covariate threshold |
title_fullStr |
Cure fraction model for interval censoring with a change point based on a covariate threshold |
title_full_unstemmed |
Cure fraction model for interval censoring with a change point based on a covariate threshold |
title_sort |
cure fraction model for interval censoring with a change point based on a covariate threshold |
publisher |
Indian Society for Education and Environment |
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2015 |
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http://psasir.upm.edu.my/id/eprint/44221/ https://indjst.org/articles/cure-fraction-model-for-interval-censoring-with-a-change-point-based-on-a-covariate-threshold |
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