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Cure fraction, modelling and estimating in a population-based cancer survival analysis

In population-based cancer studies, cure is said to occur when the mortality (hazard)rate in the diseased group of individuals returns to the same level as that expected in the general population. The optimal method for monitoring the progress of patient care across the full spectrum of provider se...

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Main Authors: Abu Bakar, Mohd Rizam, Salah, Khalid Ali, Ibrahim, Noor Akma, Haron, Kassim
Format: Article
Language:English
Published: Universiti Putra Malaysia Press 2008
Online Access:http://psasir.upm.edu.my/id/eprint/12591/1/08._rizam.pdf
http://psasir.upm.edu.my/id/eprint/12591/
http://einspem.upm.edu.my/journal/volume2.1.php
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spelling my.upm.eprints.125912015-05-27T07:14:38Z http://psasir.upm.edu.my/id/eprint/12591/ Cure fraction, modelling and estimating in a population-based cancer survival analysis Abu Bakar, Mohd Rizam Salah, Khalid Ali Ibrahim, Noor Akma Haron, Kassim In population-based cancer studies, cure is said to occur when the mortality (hazard)rate in the diseased group of individuals returns to the same level as that expected in the general population. The optimal method for monitoring the progress of patient care across the full spectrum of provider settings is through the population-based study of cancer patient survival, which is only possible using data collected by population-based cancer registries. The probability of cure, statistical cure, is defined for a cohort of cancer patients as the percent of patients whose annual death rate equals the death rate of general cancer-free population. Recently models have been introduced, so called cure fraction models, that estimates the cure fraction as well as the survival time distribution for those uncured. The colorectal cancer survival data from the Surveillance, Epidemiology and End Results (SEER) program, USA, is used. The aim is to evaluate the cure fraction models and compare these methods to other methods used to monitor time trends in cancer patient survival, and to highlight some problems using these models. Universiti Putra Malaysia Press 2008 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/12591/1/08._rizam.pdf Abu Bakar, Mohd Rizam and Salah, Khalid Ali and Ibrahim, Noor Akma and Haron, Kassim (2008) Cure fraction, modelling and estimating in a population-based cancer survival analysis. Malaysian Journal of Mathematical Sciences, 2 (1). pp. 113-134. ISSN 1823-8343 http://einspem.upm.edu.my/journal/volume2.1.php
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description In population-based cancer studies, cure is said to occur when the mortality (hazard)rate in the diseased group of individuals returns to the same level as that expected in the general population. The optimal method for monitoring the progress of patient care across the full spectrum of provider settings is through the population-based study of cancer patient survival, which is only possible using data collected by population-based cancer registries. The probability of cure, statistical cure, is defined for a cohort of cancer patients as the percent of patients whose annual death rate equals the death rate of general cancer-free population. Recently models have been introduced, so called cure fraction models, that estimates the cure fraction as well as the survival time distribution for those uncured. The colorectal cancer survival data from the Surveillance, Epidemiology and End Results (SEER) program, USA, is used. The aim is to evaluate the cure fraction models and compare these methods to other methods used to monitor time trends in cancer patient survival, and to highlight some problems using these models.
format Article
author Abu Bakar, Mohd Rizam
Salah, Khalid Ali
Ibrahim, Noor Akma
Haron, Kassim
spellingShingle Abu Bakar, Mohd Rizam
Salah, Khalid Ali
Ibrahim, Noor Akma
Haron, Kassim
Cure fraction, modelling and estimating in a population-based cancer survival analysis
author_facet Abu Bakar, Mohd Rizam
Salah, Khalid Ali
Ibrahim, Noor Akma
Haron, Kassim
author_sort Abu Bakar, Mohd Rizam
title Cure fraction, modelling and estimating in a population-based cancer survival analysis
title_short Cure fraction, modelling and estimating in a population-based cancer survival analysis
title_full Cure fraction, modelling and estimating in a population-based cancer survival analysis
title_fullStr Cure fraction, modelling and estimating in a population-based cancer survival analysis
title_full_unstemmed Cure fraction, modelling and estimating in a population-based cancer survival analysis
title_sort cure fraction, modelling and estimating in a population-based cancer survival analysis
publisher Universiti Putra Malaysia Press
publishDate 2008
url http://psasir.upm.edu.my/id/eprint/12591/1/08._rizam.pdf
http://psasir.upm.edu.my/id/eprint/12591/
http://einspem.upm.edu.my/journal/volume2.1.php
_version_ 1643825080665374720
score 13.211869

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