Abstract：
:Patient survival is one of the most important measures of cancer patient care (the diagnosis and treatment of cancer). 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. Mixture cure models have been widely used to model failure time data. The models provide simultaneous estimates of the proportion of the patients cured from cancer and the distribution of the failure times for the uncured patients (latency distribution). CANSURV (CAN-cer SURVival) is a Windows software fitting both the standard survival models and the cure models to population-based cancer survival data. CANSURV can analyze both cause-specific survival data and, especially, relative survival data, which is the standard measure of net survival in population-based cancer studies. It can also fit parametric (cure) survival models to the individual data. The program is available at . The colorectal cancer survival data from the Surveillance, Epidemiology and End Results (SEER) program [Surveillance, Epidemiology and End Results Program, The Portable Survival System/Mainframe Survival System, National Cancer Institute, Bethesda, 1999.] of the National Cancer Institute, NIH is used to demonstrate the use of CANSURV program.
journal_name
Comput Methods Programs Biomedjournal_title
Computer methods and programs in biomedicineauthors
Yu B,Tiwari RC,Cronin KA,McDonald C,Feuer EJdoi
10.1016/j.cmpb.2005.08.002subject
Has Abstractpub_date
2005-12-01 00:00:00pages
195-203issue
3eissn
0169-2607issn
1872-7565pii
S0169-2607(05)00167-7journal_volume
80pub_type
杂志文章abstract：BACKGROUND:Structural changes of the brain's third ventricle have been acknowledged as an indicative measure of the brain atrophy progression in neurodegenerative and endocrinal diseases. To investigate the ventricular enlargement in relation to the atrophy of the surrounding structures, shape analysis is a promising a...
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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更新日期：1991-02-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
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更新日期：1993-12-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
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更新日期：2020-11-01 00:00:00
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更新日期：2017-01-01 00:00:00
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journal_title：Computer methods and programs in biomedicine
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journal_title：Computer methods and programs in biomedicine
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更新日期：2005-11-01 00:00:00
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