IDEAS home Printed from https://ideas.repec.org/c/boc/bocode/s413701.html
 

CSJL: Stata module to extend cs command for exposures with more than two categories

Author

Listed:
  • Jens M. Lauritsen

    (County of Fyn, Odense Denmark)

  • Thomas Steichen

Programming Language

Stata

Abstract

csjl is an extension of the cs command (for cohort studies where all subjects are followed for the same length of time) that produces risk estimates and count tables for exposure variables with more than two levels. The analysis can additionally be reported by substratum defined by a by() variable. Risk estimates can be risk ratio (rr), risk difference (rd) or attributable risk (at). All selected estimates shown on the same line. Testing of homogenity in the individual 2x2 tables can also be performed using the chi or exact options.

Suggested Citation

  • Jens M. Lauritsen & Thomas Steichen, 2000. "CSJL: Stata module to extend cs command for exposures with more than two categories," Statistical Software Components S413701, Boston College Department of Economics.
    • Handle: RePEc:boc:bocode:s413701
    Note: This module may be installed from within Stata by typing "ssc install csjl". 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/c/csjl.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/c/csjl.hlp
    File Function: help file
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/c/csjl.dta
    File Function: sample data
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    Stata;

    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:bocode:s413701. 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.