IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s459082.html
 

RORI: Stata module for estimation of selection bias through relative odds ratio (ROR) with large sample confidence interval

Author

Listed:
  • Niels Henrik Bruun

    (Aalborg University Hospital)

Programming Language

Stata

Abstract

Response bias is an often neglected consideration when evaluating the results of epidemiologic surveys, usually because of a paucity of information about nonrespondents. The effect of nonparticipation was described by a relative odds ratio (ROR), calculated as the OR (participants)/ OR (source population). The relative odds ratio (ROR) is computed as the cross product ratio of the participation rates in the four exposure by outcome categories. -rori- calculates the relative odds ratio (ROR) in a 2x2 table of outcome and exposure. -rori- also calculates the Prevalence ratios of the exposure groups. When exposure isn't binary, it is possible to specify N for the target and response populations.

Suggested Citation

  • Niels Henrik Bruun, 2022. "RORI: Stata module for estimation of selection bias through relative odds ratio (ROR) with large sample confidence interval," Statistical Software Components S459082, Boston College Department of Economics.
  • Handle: RePEc:boc:bocode:s459082
    Note: This module should be installed from within Stata by typing "ssc install rori". 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/rori.ado
    File Function: program code
    Download Restriction: no

    File URL: http://fmwww.bc.edu/repec/bocode/r/rori.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:s459082. 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.