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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

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.

Suggested Citation

  • Anna Gigli, 2007. "(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," IRPPS Working Papers 13:2007, National Research Council, Institute for Research on Population and Social Policies.
    • Handle: RePEc:cnz:wpaper:13:2007
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    References listed on IDEAS

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    1. Limin X. Clegg & Mitchell H. Gail & Eric J. Feuer, 2002. "Estimating the Variance of Disease-Prevalence Estimates from Population-Based Registries," Biometrics, The International Biometric Society, vol. 58(3), pages 684-688, September.
    2. Mitchell H. Gail & Larry Kessler & Douglas Midthune & Steven Scoppa, 1999. "Two Approaches for Estimating Disease Prevalence from Population-Based Registries of Incidence and Total Mortality," Biometrics, The International Biometric Society, vol. 55(4), pages 1137-1144, December.
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