Estimating a logistic Weibull mixture models with long-term survivors.

The mixture model postulates a mixed population with two types of individuals, the susceptible and long-term survivors. The susceptibles are at the risk of developing the event under consideration. However, the long-term survivors or immune individuals will never experience the event. This paper foc...

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Main Authors: Abu Bakar, Mohd Rizam, Daud, Isa, Ibrahim, Noor Akma, Desi Rahmatina
Format: Article
Language:English
English
Published: Universiti Teknologi Malaysia 2006
Online Access:http://psasir.upm.edu.my/id/eprint/14559/
http://psasir.upm.edu.my/id/eprint/14559/1/Estimating%20a%20logistic%20Weibull%20mixture%20models%20with%20long.pdf
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author Abu Bakar, Mohd Rizam
Daud, Isa
Ibrahim, Noor Akma
Desi Rahmatina,
author_facet Abu Bakar, Mohd Rizam
Daud, Isa
Ibrahim, Noor Akma
Desi Rahmatina,
author_sort Abu Bakar, Mohd Rizam
building UPM Institutional Repository
collection Online Access
description The mixture model postulates a mixed population with two types of individuals, the susceptible and long-term survivors. The susceptibles are at the risk of developing the event under consideration. However, the long-term survivors or immune individuals will never experience the event. This paper focuses on the covariates associated with individuals such as age, surgery and transplant related to the probability of being immune in a logistic Weibull model and to evaluate the effect of heart transplantation on subsequent survival.
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institution Universiti Putra Malaysia
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language English
English
last_indexed 2025-11-15T07:58:58Z
publishDate 2006
publisher Universiti Teknologi Malaysia
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spelling upm-145592015-12-09T02:58:00Z http://psasir.upm.edu.my/id/eprint/14559/ Estimating a logistic Weibull mixture models with long-term survivors. Abu Bakar, Mohd Rizam Daud, Isa Ibrahim, Noor Akma Desi Rahmatina, The mixture model postulates a mixed population with two types of individuals, the susceptible and long-term survivors. The susceptibles are at the risk of developing the event under consideration. However, the long-term survivors or immune individuals will never experience the event. This paper focuses on the covariates associated with individuals such as age, surgery and transplant related to the probability of being immune in a logistic Weibull model and to evaluate the effect of heart transplantation on subsequent survival. Universiti Teknologi Malaysia 2006 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/14559/1/Estimating%20a%20logistic%20Weibull%20mixture%20models%20with%20long.pdf Abu Bakar, Mohd Rizam and Daud, Isa and Ibrahim, Noor Akma and Desi Rahmatina, (2006) Estimating a logistic Weibull mixture models with long-term survivors. Jurnal Teknologi, 45 (C). 57 - 66. ISSN 2180-3722 http://www.jurnalteknologi.utm.my/index.php/jurnalteknologi English
spellingShingle Abu Bakar, Mohd Rizam
Daud, Isa
Ibrahim, Noor Akma
Desi Rahmatina,
Estimating a logistic Weibull mixture models with long-term survivors.
title Estimating a logistic Weibull mixture models with long-term survivors.
title_full Estimating a logistic Weibull mixture models with long-term survivors.
title_fullStr Estimating a logistic Weibull mixture models with long-term survivors.
title_full_unstemmed Estimating a logistic Weibull mixture models with long-term survivors.
title_short Estimating a logistic Weibull mixture models with long-term survivors.
title_sort estimating a logistic weibull mixture models with long-term survivors.
url http://psasir.upm.edu.my/id/eprint/14559/
http://psasir.upm.edu.my/id/eprint/14559/
http://psasir.upm.edu.my/id/eprint/14559/1/Estimating%20a%20logistic%20Weibull%20mixture%20models%20with%20long.pdf