Implements weighted estimation in Cox regression as proposed by Schemper, Wakounig and Heinze (Statistics in Medicine, 2009, <doi:10.1002/sim.3623>). Weighted Cox regression provides unbiased average hazard ratio estimates also in case of non-proportional hazards. Approximated generalized concordance probability an effect size measure for clear-cut decisions can be obtained. The package provides options to estimate time-dependent effects conveniently by including interactions of covariates with arbitrary functions of time, with or without making use of the weighting option.
Version: | 4.0.0 |
Depends: | R (≥ 3.0.2), survival |
Suggests: | knitr, rmarkdown |
Published: | 2017-01-02 |
Author: | Georg Heinze [aut, cre], Meinhard Ploner [aut], Daniela Dunkler [aut] |
Maintainer: | Georg Heinze <georg.heinze at meduniwien.ac.at> |
License: | GPL-2 |
NeedsCompilation: | yes |
Citation: | coxphw citation info |
Materials: | README NEWS |
In views: | Survival |
CRAN checks: | coxphw results |
Reference manual: | coxphw.pdf |
Vignettes: |
R code for 'Weighted Cox Regression using the R package coxphw' |
Package source: | coxphw_4.0.0.tar.gz |
Windows binaries: | r-devel: coxphw_4.0.0.zip, r-release: coxphw_4.0.0.zip, r-oldrel: coxphw_4.0.0.zip |
OS X El Capitan binaries: | r-release: coxphw_4.0.0.tgz |
OS X Mavericks binaries: | r-oldrel: coxphw_4.0.0.tgz |
Old sources: | coxphw archive |
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