http://www.cnr.it/ontology/cnr/individuo/prodotto/ID146736
Estimation of cancer survival from population-based registries. Data on hispanics (Rapporti tecnici/preprint/working paper)
- Type
- Label
- Estimation of cancer survival from population-based registries. Data on hispanics (Rapporti tecnici/preprint/working paper) (literal)
- Anno
- 2003-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Anna Gigli, Arianna Simonetti (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
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- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autoriCuratela
- Gigli Anna, Simonetti Arianna (literal)
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- IRPPS Working paper, n.1 (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#curatori
- Gigli Anna, Simonetti Arianna (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
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- Gigli Anna, Simonetti Arianna: IRPPS-CNR (literal)
- Titolo
- Estimation of cancer survival from population-based registries. Data on hispanics (literal)
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#tipoDiCuratela
- Abstract
- Cancer prevalence is the proportion of people in a population diagnosed
with cancer in the past and still alive. One way to estimate prevalence is
via population-based registries, where data on diagnosis and life status of all
incident cases occurring in the covered population are collected.
In Gigli and Simonetti (2002) some methods regarding the fitting of in-
cidence and survival models to data collected by the SEER9 and SEER11
registries in the United States on various cancer sites, various race/ethnicity
categories and two sexes, were applied. However, data scarcity for hispanic
patients in SEER11 dataset caused an unsatisfactory survival modelling,
therefore further investigation has been performed in this paper.
The paper is organized as follows: section 1 provides the general setting
for the estimation of survival models; section 2 proposed two methods to
estimate the survival parameters, when data is scarse; section 3 examines
the performance of the methods proposed by graphical evaluation; finally in
appendix the results are reported in a table and the fitting of the models is
shown via plots. (literal)
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