IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-7908-2084-3_16.html
   My bibliography  Save this book chapter

Spatial and Computational Models of Alcohol Use and Problems

In: Compstat 2008

Author

Listed:
  • William F. Wieczorek

    (State University of New York, Center for Health and Social Research Buffalo State College
    Cambridge University, Isaac Newton Institute for Mathematical Sciences)

  • Yasmin H. Said

    (Cambridge University, Isaac Newton Institute for Mathematical Sciences
    George Mason University, Department of Computational and Data Sciences)

  • Edward J. Wegman

    (Cambridge University, Isaac Newton Institute for Mathematical Sciences
    George Mason University, Department of Computational and Data Sciences)

Abstract

This paper focuses on multivariate and computational approaches that are being developed in the alcohol field. There is substantial monetary support for conducting alcohol research. Alcohol use and problems are complex behaviors by individuals, across their life spans, while embedded in a number of social and economic networks. This complexity, coupled with the research support primarily from the National Institutes of Health (NIH), has led to numerous data collection and research projects, many of which require sophisticated multivariate and spatial statistical approaches. Some of the methods used to model alcohol use and problems are latent growth curves, multilevel models, and latent class analysis. These techniques allow for the examination and modeling of both individual and group level factors. However, these types of models are not suitable for mining large data sets. In this paper, we exploit regional data in Erie County, NY to illustrate the use of multivariate and spatial analysis tools in alcohol studies.

Suggested Citation

  • William F. Wieczorek & Yasmin H. Said & Edward J. Wegman, 2008. "Spatial and Computational Models of Alcohol Use and Problems," Springer Books, in: Paula Brito (ed.), Compstat 2008, pages 191-202, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2084-3_16
    DOI: 10.1007/978-3-7908-2084-3_16
    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
    for a similarly titled item that would be available.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    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:spr:sprchp:978-3-7908-2084-3_16. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.