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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>) and as described in Dunkler, Ploner, Schemper and Heinze (Journal of Statistical Software, 2018, <doi:10.18637/jss.v084.i02>). 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:4.0.3
Depends:R (≥ 3.0.2),survival
Suggests:knitr,rmarkdown,testthat
Published:2023-11-28
DOI:10.32614/CRAN.package.coxphw
Author:Daniela Dunkler [aut, cre], Georg Heinze [aut], Meinhard Ploner [aut]
Maintainer:Daniela Dunkler <daniela.dunkler at meduniwien.ac.at>
BugReports:https://github.com/biometrician/coxphw/issues
License:GPL-3
URL:https://github.com/biometrician/coxphw
NeedsCompilation:yes
Citation:coxphw citation info
Materials:README,NEWS
In views:Survival
CRAN checks:coxphw results

Documentation:

Reference manual:coxphw.html ,coxphw.pdf
Vignettes:R code for 'Weighted Cox Regression using the R package coxphw' (source,R code)

Downloads:

Package source: coxphw_4.0.3.tar.gz
Windows binaries: r-devel:coxphw_4.0.3.zip, r-release:coxphw_4.0.3.zip, r-oldrel:coxphw_4.0.3.zip
macOS binaries: r-release (arm64):coxphw_4.0.3.tgz, r-oldrel (arm64):coxphw_4.0.3.tgz, r-release (x86_64):coxphw_4.0.3.tgz, r-oldrel (x86_64):coxphw_4.0.3.tgz
Old sources: coxphw archive

Reverse dependencies:

Reverse suggests:simIDM

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=coxphwto link to this page.


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