IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s457361.html
 

REGPAR: Stata module to compute population attributable risks from binary regression models

Author

Listed:
  • Roger Newson

    (King's College London)

Programming Language

Stata

Abstract

regpar calculates confidence intervals for population attributable risks, and also for scenario proportions. regpar can be used after an estimation command whose predicted values are interpreted as conditional proportions, such as logit, logistic, probit, or glm. It estimates two scenario proportions, a baseline scenario ("Scenario 0") and a fantasy scenario ("Scenario 1"), in which one or more exposure variables are assumed to be set to particular values (typically zero), and any other predictor variables in the model are assumed to remain the same. It also estimates the difference between the Scenario 0 proportion and the Scenario 1 proportion. This difference is known as the population attributable risk (PAR), and represents the amount of risk attributable to living in Scenario 0 instead of Scenario 1.

Suggested Citation

  • Roger Newson, 2011. "REGPAR: Stata module to compute population attributable risks from binary regression models," Statistical Software Components S457361, Boston College Department of Economics, revised 04 Sep 2015.
    • Handle: RePEc:boc:bocode:s457361
    Note: This module should be installed from within Stata by typing "ssc install regpar". The module is made available under terms of the GPL v3 (https://www.gnu.org/licenses/gpl-3.0.txt). Windows users should not attempt to download these files with a web browser.
    as

    Download full text from publisher

    File URL: http://fmwww.bc.edu/repec/bocode/r/regpar.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/regpar_p.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/r/regpar.sthlp
    File Function: help file
    Download Restriction: no
    ---><---

    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:bocode:s457361. 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/debocus.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.