IPWLOGIT: Stata module to fit marginal logistic regression by inverse probability weighting

Ben Jann

Statistical Software Components from Boston College Department of Economics

Abstract: : ipwlogit fits marginal logistic regression of a binary dependent variable on a treatment variable, possibly adjusting for control variables by inverse probability weighting (IPW). The resulting estimate can be interpreted as a marginal (log) odds ratio of a positive outcome. The treatment variable can be categorical, continuous, or discrete.

Language: Stata
Requires: Stata version 14
Keywords: marginal logistic regression; marginal odds ratio; inverse probability weighting (search for similar items in EconPapers)
Date: 2023-01-16
Note: This module should be installed from within Stata by typing "ssc install ipwlogit". 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/i/ipwlogit.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/_/_ipwlogit_svy.ado program code (text/plain)
http://fmwww.bc.edu/repec/bocode/i/ipwlogit.sthlp help file (text/plain)
http://fmwww.bc.edu/repec/bocode/i/ipwlogit.zip zip archive (application/zip)

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:s459172

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 ().