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.

Install the latest version of this package by entering the following in R:
install.packages("coxphw")
AuthorGeorg Heinze [aut, cre], Meinhard Ploner [aut], Daniela Dunkler [aut]
Date of publication2017-01-02 16:52:58
MaintainerGeorg Heinze <georg.heinze@meduniwien.ac.at>
LicenseGPL-2
Version4.0.0

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