Weighted Estimation in Cox Regression

Implements weighted estimation in Cox regression as proposed by Schemper, Wakounig and Heinze (Statistics in Medicine, 2009, ) and as described in Dunkler, Ploner, Schemper and Heinze (Journal of Statistical Software, 2018, ). 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.


The R package coxphw implements weighted estimation in Cox regression as proposed by Schemper, Wakounig and Heinze (Statistics in Medicine, 2009, \doi{10.1002/sim.3623}). 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.

This package is licensed under GPL-2, and available on CRAN: https://cran.r-project.org/package=coxphw.

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install.packages("coxphw")

4.0.1 by Georg Heinze, 8 days ago


Browse source code at https://github.com/cran/coxphw


Authors: Georg Heinze [aut, cre], Meinhard Ploner [aut], Daniela Dunkler [aut]


Documentation:   PDF Manual  


Task views: Survival Analysis


GPL-2 license


Depends on survival

Suggests knitr, rmarkdown


See at CRAN