IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this paper

Analysis of Longitudinal Data in Stata, Splus and SAS

Listed author(s):
  • Rino Bellocco


    (Karolinska Institutet)

Registered author(s):

    Longitudinal data are commonly collected in experimental and observational studies, where both disease and risk factors are measured at different repeated times. The goal of this project is to compare analyses performed using Stata, SPlus and SAS under two different families of distributions: normal and logistic. I will show the results obtained from the analyses of two sample data sets; these will analysed using both Generalized Estimating Equation (gee) and Random Effect models. In Stata I will use both the xt programs and the routine provided by Rabe-Hesketh (glamm6): confidence intervals, hypothesis testing and model fitting will be discussed. Missing data issues will be raised and discussed as well.

    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:
    Download Restriction: no

    Paper provided by Stata Users Group in its series North American Stata Users' Group Meetings 2001 with number 4.4.

    in new window

    Date of creation: 15 Jan 2001
    Handle: RePEc:boc:asug01:4.4
    Contact details of provider: Web page:

    More information through EDIRC

    No references listed on IDEAS
    You can help add them by filling out this form.

    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:asug01:4.4. 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.