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

Statistical Software Components from Boston College Department of Economics

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.

Language: Stata
Requires: Stata version 7.0
Keywords: conditional logit; weights (search for similar items in EconPapers)
Date: 2003-07-31, Revised 2006-12-06
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.
References: Add references at CitEc
Citations:

Downloads: (external link)
http://fmwww.bc.edu/repec/bocode/w/wclogit.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/w/wclogit.hlp help file (text/plain)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:boc:bocode:s433901

Ordering information: This software item can be ordered from
http://repec.org/docs/ssc.php

Access Statistics for this software item

More software in Statistical Software Components from Boston College Department of Economics Boston College, 140 Commonwealth Avenue, Chestnut Hill MA 02467 USA. Contact information at EDIRC.
Bibliographic data for series maintained by Christopher F Baum ().