| Estimating the personal cure rate of cancer patients using population-based grouped cancer survival data. | |
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MedLine Citation:
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PMID: 20181780 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Cancer patients are subject to multiple competing risks of death and may die from causes other than the cancer diagnosed. The probability of not dying from the cancer diagnosed, which is one of the patients' main concerns, is sometimes called the 'personal cure' rate. Two approaches of modelling competing-risk survival data, namely the cause-specific hazards approach and the mixture model approach, have been used to model competing-risk survival data. In this article, we first show the connection and differences between crude cause-specific survival in the presence of other causes and net survival in the absence of other causes. The mixture survival model is extended to population-based grouped survival data to estimate the personal cure rate. Using the colorectal cancer survival data from the Surveillance, Epidemiology and End Results Programme, we estimate the probabilities of dying from colorectal cancer, heart disease, and other causes by age at diagnosis, race and American Joint Committee on Cancer stage. |
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Authors:
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Binbing Yu; Ram C Tiwari; Eric J Feuer |
Publication Detail:
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Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, N.I.H., Intramural Date: 2010-02-24 |
Journal Detail:
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Title: Statistical methods in medical research Volume: 20 ISSN: 1477-0334 ISO Abbreviation: Stat Methods Med Res Publication Date: 2011 Jun |
Date Detail:
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Created Date: 2011-05-25 Completed Date: 2011-09-27 Revised Date: 2012-03-08 |
Medline Journal Info:
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Nlm Unique ID: 9212457 Medline TA: Stat Methods Med Res Country: England |
Other Details:
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Languages: eng Pagination: 261-74 Citation Subset: IM |
Affiliation:
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Laboratory of Epidemiology, Demography and Biometry, National Institute on Aging, Bethesda, MD 20892, USA. yubi@mail.nih.gov |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Aged Aged, 80 and over Cause of Death Colorectal Neoplasms / mortality Data Interpretation, Statistical Female Humans Kaplan-Meier Estimate Male Middle Aged Models, Statistical Neoplasms / mortality*, therapy* Proportional Hazards Models Registries Risk Factors SEER Program / statistics & numerical data Survival Analysis* United States / epidemiology |
| Grant Support | |
ID/Acronym/Agency:
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Z99 AG999999/AG/NIA NIH HHS |
| Comments/Corrections | |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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