ipw: Estimate Inverse Probability Weights

Functions to estimate the probability to receive the observed treatment, based on individual characteristics. The inverse of these probabilities can be used as weights when estimating causal effects from observational data via marginal structural models. Both point treatment situations and longitudinal studies can be analysed. The same functions can be used to correct for informative censoring.

Version: 1.0-11
Depends: R (≥ 3.0.0)
Imports: MASS, nnet, survival, geepack, graphics, methods, stats
Suggests: nlme, survey, boot
Published: 2015-08-18
Author: Ronald B. Geskus [aut, cre], Willem M. van der Wal [aut] (maintainer until 2010)
Maintainer: Ronald B. Geskus <r.b.geskus at amc.uva.nl>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Citation: ipw citation info
In views: MissingData
CRAN checks: ipw results


Reference manual: ipw.pdf


Package source: ipw_1.0-11.tar.gz
Windows binaries: r-devel: ipw_1.0-11.zip, r-release: ipw_1.0-11.zip, r-oldrel: ipw_1.0-11.zip
macOS binaries: r-release (arm64): ipw_1.0-11.tgz, r-release (x86_64): ipw_1.0-11.tgz, r-oldrel: ipw_1.0-11.tgz
Old sources: ipw archive

Reverse dependencies:

Reverse suggests: riskRegression


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