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 |