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:	4.0.2
Depends:	R (≥ 3.0.2), survival
Suggests:	knitr, rmarkdown, testthat
Published:	2020-06-22
Author:	Daniela Dunkler [aut, cre], Georg Heinze [aut], Meinhard Ploner [aut]
Maintainer:	Daniela Dunkler <daniela.dunkler at meduniwien.ac.at>
License:	GPL-3
NeedsCompilation:	yes
Citation:	coxphw citation info
Materials:	README NEWS
In views:	Survival
CRAN checks:	coxphw results

Documentation:

Reference manual:	coxphw.pdf
Vignettes:	R code for 'Weighted Cox Regression using the R package coxphw'

Downloads:

Package source:	coxphw_4.0.2.tar.gz
Windows binaries:	r-devel: coxphw_4.0.2.zip, r-release: coxphw_4.0.2.zip, r-oldrel: coxphw_4.0.2.zip
macOS binaries:	r-release (arm64): coxphw_4.0.2.tgz, r-oldrel (arm64): coxphw_4.0.2.tgz, r-release (x86_64): coxphw_4.0.2.tgz, r-oldrel (x86_64): coxphw_4.0.2.tgz
Old sources:	coxphw archive

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