coxphw: Weighted Estimation in Cox Regression

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

Downloads:

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 Mavericks binaries: r-release: coxphw_4.0.0.tgz, r-oldrel: coxphw_4.0.0.tgz
Old sources: coxphw archive

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