IDEAS home Printed from https://ideas.repec.org/a/bot/rivsta/v70y2010i3p371-390.html
   My bibliography  Save this article

Generalized linear models and capture-recapture method in a closed population: strengths and weaknesses

Author

Listed:
  • Giuseppe Rossi
  • Pasquale Pepe
  • Olivia Curzio
  • Marco Marchi

Abstract

Capture-recapture methods are used by epidemiologists in order to estimate the size of hidden populations using incomplete and overlapping lists of cases. These models can be both continuous and discrete time and the particular population we want to obtain a quantitative evaluation can be assumed to be closed or open. Here we specifically consider discrete-time models for closed population. The problem was treated using Generalized Linear Models as they allow to treat simultaneously both forms of dependence between sources than observed heterogeneity due to covariates effects. Specifically, we analyzed the strengths and weaknesses of Multinomial Conditional Logistic Model and presented a comparison with a correspondent Bayesian approach. The estimates obtained on simulated and real data appear to be enough reliable.

Suggested Citation

  • Giuseppe Rossi & Pasquale Pepe & Olivia Curzio & Marco Marchi, 2010. "Generalized linear models and capture-recapture method in a closed population: strengths and weaknesses," Statistica, Department of Statistics, University of Bologna, vol. 70(3), pages 371-390.
    • Handle: RePEc:bot:rivsta:v:70:y:2010:i:3:p:371-390
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    More about this item

    Statistics

    Access and download statistics

    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:bot:rivsta:v:70:y:2010:i:3:p:371-390. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Giovanna Galatà (email available below). General contact details of provider: https://edirc.repec.org/data/dsbolit.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.