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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Universiti Putra Malaysia Press
2008
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| Online Access: | http://psasir.upm.edu.my/id/eprint/12591/ http://psasir.upm.edu.my/id/eprint/12591/1/08._rizam.pdf |
| _version_ | 1848841881502351360 |
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| author | Abu Bakar, Mohd Rizam Salah, Khalid Ali Ibrahim, Noor Akma Haron, Kassim |
| author_facet | Abu Bakar, Mohd Rizam Salah, Khalid Ali Ibrahim, Noor Akma Haron, Kassim |
| author_sort | Abu Bakar, Mohd Rizam |
| building | UPM Institutional Repository |
| collection | Online Access |
| 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. |
| first_indexed | 2025-11-15T07:50:17Z |
| format | Article |
| id | upm-12591 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T07:50:17Z |
| publishDate | 2008 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/12591/ http://psasir.upm.edu.my/id/eprint/12591/ http://psasir.upm.edu.my/id/eprint/12591/1/08._rizam.pdf |