ipw: An R Package for Inverse Probability Weighting
Willem M. van der Wal and
Ronald B. Geskus
Journal of Statistical Software, 2011, vol. 043, issue i13
Abstract:
We describe the R package ipw for estimating inverse probability weights. We show how to use the package to fit marginal structural models through inverse probability weighting, to estimate causal effects. Our package can be used with data from a point treatment situation as well as with a time-varying exposure and time-varying confounders. It can be used with binomial, categorical, ordinal and continuous exposure variables.
Date: 2011-09-14
References: View complete reference list from CitEc
Citations: View citations in EconPapers (24)
Downloads: (external link)
https://www.jstatsoft.org/index.php/jss/article/view/v043i13/v43i13.pdf
https://www.jstatsoft.org/index.php/jss/article/do ... 13/ipw_1.0-10.tar.gz
https://www.jstatsoft.org/index.php/jss/article/do ... ile/v043i13/v43i13.R
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:jss:jstsof:v:043:i13
DOI: 10.18637/jss.v043.i13
Access Statistics for this article
Journal of Statistical Software is currently edited by Bettina Grün, Edzer Pebesma and Achim Zeileis
More articles in Journal of Statistical Software from Foundation for Open Access Statistics
Bibliographic data for series maintained by Christopher F. Baum ().