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WCLOGIT: Stata module to perform conditional logistic regression with within-group varying weights

Author

Listed:
  • Adrian Mander

Programming Language

Stata

Abstract

This command maximises the partial log-likelihood for conditional logistic regression with weights that can vary within the matched set defined by the group option. In calculations the Breslow likelihood as specified in the Stata manual. Note that only one case is allowed within one group so no ties are possible and that frequency weights are not allowed. In other words the dataset should be expanded to an "individual data" format. The main application for this function would be when you have inverse probability weights to correct for any bias introduced in selecting members of each group. A typical epidemiological design would be the case-cohort study where every case from a larger cohort is included in the analysis but a smaller random sample of all possible controls are included.

Suggested Citation

  • Adrian Mander, 2003. "WCLOGIT: Stata module to perform conditional logistic regression with within-group varying weights," Statistical Software Components S433901, Boston College Department of Economics, revised 06 Dec 2006.
    • Handle: RePEc:boc:bocode:s433901
    Note: This module may be installed from within Stata by typing "ssc install wclogit". 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/w/wclogit.ado
    File Function: program code
    Download Restriction: no
    File URL: http://fmwww.bc.edu/repec/bocode/w/wclogit.hlp
    File Function: help file
    Download Restriction: no
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