IDEAS home Printed from https://ideas.repec.org/p/boc/usug14/14.html
   My bibliography  Save this paper

Bayesian analysis with Stata: Application to neonatal mortality in the UK

Author

Listed:
  • John R. Thompson

    (Department of Health Sciences, University of Leicester)

Abstract

The Bayesian approach to statistical analysis has many theoretical advantages, but in the past, its use has been limited by a lack of suitable statistical software. In a book published this year by Stata Press called Bayesian Analysis with Stata, I have tried to show that Stata can be used for Bayesian as well as frequentist statistical analysis. In this talk, I will present a Bayesian analysis of neonatal mortality rates in England and Wales and show how it can be implemented in Stata or Mata or by calling WinBUGS from within Stata. Over the last few decades, neonatal mortality has been falling steadily throughout the world, but the UK lags some way behind many other developed countries. Each year, data on neonatal mortality categorized by birth weight and maternal age are published. We will use a Bayesian analysis of these data to see if the declining rate over time has been similar in all the categories.

Suggested Citation

  • John R. Thompson, 2014. "Bayesian analysis with Stata: Application to neonatal mortality in the UK," United Kingdom Stata Users' Group Meetings 2014 14, Stata Users Group.
  • Handle: RePEc:boc:usug14:14
    as

    Download full text from publisher

    File URL: http://repec.org/usug2014/thompson_uksug14.pdf
    Download Restriction: no
    ---><---

    More about this item

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:boc:usug14:14. 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: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.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.