<?xml version="1.0" encoding="UTF-8"?>
<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Weighted Estimation in Cox Regression</dc:title>
  <dc:title>R package coxphw version 4.0.3</dc:title>
  <dc:subject>CRAN Task View: Survival (https://CRAN.R-project.org/view=Survival)</dc:subject>
  <dc:description>Implements weighted estimation in Cox regression as proposed by
             Schemper, Wakounig and Heinze (Statistics in Medicine, 2009, 
             &lt;doi:10.1002/sim.3623&gt;) and as described in Dunkler, Ploner, Schemper and 
             Heinze (Journal of Statistical Software, 2018, &lt;doi:10.18637/jss.v084.i02&gt;). 
             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.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 3.0.2), survival</dc:relation>
  <dc:relation>Suggests: knitr, rmarkdown, testthat</dc:relation>
  <dc:creator>Daniela Dunkler &lt;daniela.dunkler@meduniwien.ac.at&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Daniela Dunkler [aut, cre],
  Georg Heinze [aut],
  Meinhard Ploner [aut]</dc:contributor>
  <dc:rights>GPL-3</dc:rights>
  <dc:date>2023-11-28</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=coxphw</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.coxphw</dc:identifier>
</oai_dc:dc>
