IDEAS home Printed from https://ideas.repec.org/p/cnz/wpaper/142007.html
   My bibliography  Save this paper

(English) Variance of complete cancer prevalence at all ages (Italiano) Variance of complete cancer prevalence at all ages

Author

Listed:
  • 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 paper a method for the estimation of the variance of complete prevalence at all ages combined has been investigated. The proposed solution consists of estimating an upper bound of the variance of interest. Simulations show that the upper bound works well, however a theoretical proof has not been found. The paper is organized as follows: after a brief introduction in section 1, the problem is illustrated in section 2; a new solution is proposed in section 3 and applied to a simulated data set in section 4; and finally some technical advice on how to modify the existing software is proposed in section 5. (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 paper a method for the estimation of the variance of complete prevalence at all ages combined has been investigated. The proposed solution consists of estimating an upper bound of the variance of interest. Simulations show that the upper bound works well, however a theoretical proof has not been found. The paper is organized as follows: after a brief introduction in section 1, the problem is illustrated in section 2; a new solution is proposed in section 3 and applied to a simulated data set in section 4; and finally some technical advice on how to modify the existing software is proposed in section 5.

Suggested Citation

  • Anna Gigli, 2007. "(English) Variance of complete cancer prevalence at all ages (Italiano) Variance of complete cancer prevalence at all ages," IRPPS Working Papers 14:2007, National Research Council, Institute for Research on Population and Social Policies.
    • Handle: RePEc:cnz:wpaper:14:2007
    as

    Download full text from publisher

    File URL: http://www.irpps.cnr.it/e-pub/ojs/files/journals/4/articles/63/public/63-201-2-PB.pdf
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. 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.
    3. Jun Yan & Yu Cheng & Jason P. Fine & HuiChuan J. Lai, 2010. "Uncovering Symptom Progression History from Disease Registry Data with Application to Young Cystic Fibrosis Patients," Biometrics, The International Biometric Society, vol. 66(2), pages 594-602, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cnz:wpaper:14:2007. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sveva Avveduto (email available below). General contact details of provider: https://edirc.repec.org/data/irppsit.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.