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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Main Authors: Taweab, Fauzia, Ibrahim, Noor Akma, Mohd Rizam
Format: Article
Published: Indian Society for Education and Environment 2015
Online Access:http://psasir.upm.edu.my/id/eprint/44221/
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author Taweab, Fauzia
Ibrahim, Noor Akma
Mohd Rizam
author_facet Taweab, Fauzia
Ibrahim, Noor Akma
Mohd Rizam
author_sort Taweab, Fauzia
building UPM Institutional Repository
collection Online Access
description 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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institution Universiti Putra Malaysia
institution_category Local University
last_indexed 2025-11-15T10:05:59Z
publishDate 2015
publisher Indian Society for Education and Environment
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spelling upm-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
spellingShingle Taweab, Fauzia
Ibrahim, Noor Akma
Mohd Rizam
Cure fraction model for interval censoring with a change point based on a covariate threshold
title 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_short 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
url http://psasir.upm.edu.my/id/eprint/44221/
http://psasir.upm.edu.my/id/eprint/44221/
http://psasir.upm.edu.my/id/eprint/44221/