Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
ipw: An R Package for Inverse Probability Weighting | van der Wal | Journal of Statistical Software
Authors: Willem M. van der Wal, Ronald B. Geskus
Title: ipw: An R Package for Inverse Probability Weighting
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.

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Paper: ipw: An R Package for Inverse Probability Weighting     Download PDF (Downloads: 18961)
ipw_1.0-10.tar.gz: R source package Download (Downloads: 624; 124KB)
v43i13.R: R example code from the paper Download (Downloads: 721; 6KB)

DOI: 10.18637/jss.v043.i13

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.