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  • Estimating the completeness of prevalence based on cancer . . . - PubMed
    Prevalence data provided by cancer registries are generally biased, since the patients that were diagnosed before the starting of the registry's activity cannot be included in the statistics The relevance of this incompleteness bias is estimated in this paper
  • ESTIMATING THE COMPLETENESS OF PREVALENCE BASED ON CANCER REGISTRY DATA
    Prevalence data provided by cancer registries are generally biased, since the patients that were diagnosed before the starting of the registry's activity cannot be included in the statistics The relevance of this incompleteness bias is estimated in this paper
  • Complete and Limited Duration Cancer Prevalence Estimates
    In order to obtain complete prevalence from registries of shorter duration, a method based on the statistical modeling of a completeness index (Capocaccia et al 1997) can be used
  • Estimating the completeness of prevalence based on cancer registry data.
    A numerical method for the estimation of the variance of the completeness index (NUMCOMP) is developed, and comparisons are made with a previous analytical method (VARCOMP), proposed by Gigli et al (2006)
  • Cancer prevalence estimates based on tumour registry data in the . . .
    The purpose of this study is to apply the modelling approach developed by Capocaccia and De Angelis to cancer data from the Surveillance, Epidemiology, and End Results (SEER) Program of the National Cancer Institute to obtain more representative US site-specific cancer prevalence proportion estimates for white and black patients
  • Correcting the Completeness BIAS of Observed Prevalence
    Correcting the Completeness BIAS of Observed Prevalence Dr ssa Isabella Corazziari, Angela Mariotto, and Riccardo Capocaccia View all authors and affiliations Volume 85, Issue 5 https: doi org 10 1177 030089169908500503 Contents
  • Approaches to Estimation - Cancer
    Completeness Index is a statistical model which estimates complete prevalence from limited-duration prevalence (Capocaccia De Angelis, 1997; Merrill et al , 2000)
  • MIAMOD-PIAMOD - ISS
    Continuous monitoring of cancer burden indicators, such as mortality, incidence and prevalence, is important to evaluate progresses and define new cancer control programs Usually only mortality data are systematically available from official statistics both at local and national scale
  • Methodological aspects of estimating rare cancer prevalence in Europe . . .
    Aim of this paper is to describe how the completeness index method was applied to the ‘Surveillance of Rare Cancers in Europe project’ (RARECARE) database [11] for estimating the rare cancer prevalence in Europe and how the method performance was evaluated
  • Complete and Limited Duration Cancer Prevalence Estimates
    For a more detailed account of the methodology, see Capocaccia et al 1997 Merrill et al 2000 shows the validation of the completeness index based on Connecticut Tumor Registry data, for selected cancer sites





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