IDEAS home Printed from
MyIDEAS: Login to save this software component or follow this series

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

  • Jens M. Lauritsen


    (County of Fyn, Odense Denmark)

  • Thomas Steichen


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.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL:
File Function: program code
Download Restriction: no

File URL:
File Function: help file
Download Restriction: no

File URL:
File Function: sample data
Download Restriction: no

Software component provided by Boston College Department of Economics in its series Statistical Software Components with number S413701.

in new window

Programming language: Stata
Date of creation: 01 Sep 2000
Date of revision:
Handle: RePEc:boc:bocode:s413701
Note: This module may be installed from within Stata by typing "ssc install csjl". Windows users should not attempt to download these files with a web browser.
Contact details of provider: Postal: Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA
Phone: 617-552-3670
Fax: +1-617-552-2308
Web page:

More information through EDIRC

Order Information: Web:

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:boc:bocode:s413701. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Christopher F Baum)

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.

If references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.