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(English) Numerical estimation of the variance of the completeness index applied to cancer data (Italiano) Numerical estimation of the variance of the completeness index applied to cancer data

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  • Anna Gigli
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    Abstract

    (English) 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 this report 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). The paper is organized as follows: section 1 introduces the problem; section 2 illustrates the new method; section 3 describes the algorithm in details; finally in section 4 the new and old methods are applied to the following cancer sites: all sites, anus, brain, colorectal for males and females, and to breast cancer for females (all races/ethnicities) and results are compared and commented. (Italiano) 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 this report 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). The paper is organized as follows: section 1 introduces the problem; section 2 illustrates the new method; section 3 describes the algorithm in details; finally in section 4 the new and old methods are applied to the following cancer sites: all sites, anus, brain, colorectal for males and females, and to breast cancer for females (all races/ethnicities) and results are compared and commented.

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    File URL: http://www.irpps.cnr.it/e-pub/ojs/files/journals/4/articles/62/public/62-198-2-PB.pdf
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    Bibliographic Info

    Paper provided by National Research Council, Institute for Research on Population and Social Policies in its series IRPPS Working Papers with number 13:2007.

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    Date of creation: 2007
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    Handle: RePEc:cnz:wpaper:13:2007

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    Keywords: (English) Complete prevalence; Cancer registries; Incidence; Survival; Numerical derivatives; SEER*Stat software (Italiano) Complete prevalence; Cancer registries; Incidence; Survival; Numerical derivatives; SEER*Stat software;

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